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"modules/generated/spkit.entropy_diff_cond.rst", "modules/generated/spkit.entropy_diff_cond_self.rst", "modules/generated/spkit.entropy_diff_joint.rst", "modules/generated/spkit.entropy_diff_joint_cond.rst", "modules/generated/spkit.entropy_differential.rst", "modules/generated/spkit.entropy_granger_causality.rst", "modules/generated/spkit.entropy_joint.rst", "modules/generated/spkit.entropy_kld.rst", "modules/generated/spkit.entropy_permutation.rst", "modules/generated/spkit.entropy_sample.rst", "modules/generated/spkit.entropy_spectral.rst", "modules/generated/spkit.entropy_svd.rst", "modules/generated/spkit.f0_detection.rst", "modules/generated/spkit.ffrft.rst", "modules/generated/spkit.fill_nans_1d.rst", "modules/generated/spkit.fill_nans_2d.rst", "modules/generated/spkit.filterDC.rst", "modules/generated/spkit.filterDC_sGolay.rst", "modules/generated/spkit.filter_X.rst", "modules/generated/spkit.filter_powerline.rst", "modules/generated/spkit.filter_smooth_gauss.rst", "modules/generated/spkit.filter_smooth_mollifier.rst", "modules/generated/spkit.filter_smooth_sGolay.rst", "modules/generated/spkit.filter_with_kernel.rst", "modules/generated/spkit.filtering_pipeline.rst", "modules/generated/spkit.frft.rst", "modules/generated/spkit.friedrichs_mollifier_kernel.rst", "modules/generated/spkit.gaussian_kernel.rst", "modules/generated/spkit.geometry.Inter2DPlane.rst", "modules/generated/spkit.geometry.TriAng.rst", "modules/generated/spkit.geometry.area_tri.rst", "modules/generated/spkit.geometry.car2spar.rst", "modules/generated/spkit.geometry.dir_vectors.rst", "modules/generated/spkit.geometry.divide_space.rst", "modules/generated/spkit.geometry.getTriFaces.rst", "modules/generated/spkit.geometry.getTriFaces_V2.rst", "modules/generated/spkit.geometry.get_PCA.rst", "modules/generated/spkit.geometry.get_adjacency_matrix_depth.rst", "modules/generated/spkit.geometry.get_adjacency_matrix_dist.rst", "modules/generated/spkit.geometry.get_adjacency_matrix_kNN.rst", "modules/generated/spkit.geometry.get_center.rst", "modules/generated/spkit.geometry.get_circle.rst", "modules/generated/spkit.geometry.get_circular_grid.rst", "modules/generated/spkit.geometry.get_ellipsoid.rst", "modules/generated/spkit.geometry.get_neibours.rst", "modules/generated/spkit.geometry.get_optimal_projection.rst", "modules/generated/spkit.geometry.get_plane.rst", "modules/generated/spkit.geometry.get_sphare.rst", "modules/generated/spkit.geometry.get_square.rst", "modules/generated/spkit.geometry.get_square_grid.rst", "modules/generated/spkit.geometry.lin_inter.rst", "modules/generated/spkit.geometry.node2C_to_adjacency_matrix.rst", "modules/generated/spkit.geometry.opt_project.rst", "modules/generated/spkit.geometry.plot_proj.rst", "modules/generated/spkit.geometry.rotation_matrix.rst", "modules/generated/spkit.geometry.spar2car.rst", "modules/generated/spkit.geometry.surface_plot_mayavi.rst", "modules/generated/spkit.geometry.surface_reconstruction.rst", "modules/generated/spkit.getQuickStats.rst", "modules/generated/spkit.getStats.rst", "modules/generated/spkit.get_activation_time.rst", "modules/generated/spkit.get_repolarisation_time.rst", "modules/generated/spkit.graph_filter_adj.rst", "modules/generated/spkit.graph_filter_dist.rst", "modules/generated/spkit.hist_plot.rst", "modules/generated/spkit.iffrft.rst", "modules/generated/spkit.ifrft.rst", "modules/generated/spkit.io.read_bdf.rst", "modules/generated/spkit.io.read_hdf.rst", "modules/generated/spkit.io.read_surf.rst", "modules/generated/spkit.io.read_surf_file.rst", "modules/generated/spkit.io.read_vtk.rst", "modules/generated/spkit.io.write_vtk.rst", "modules/generated/spkit.is_power2.rst", "modules/generated/spkit.low_resolution.rst", "modules/generated/spkit.mea.activation_repol_time_loc.rst", "modules/generated/spkit.mea.activation_time_loc.rst", "modules/generated/spkit.mea.align_cycles.rst", "modules/generated/spkit.mea.analyse_mea_file.rst", "modules/generated/spkit.mea.arrange_mea_grid.rst", "modules/generated/spkit.mea.compute_cv.rst", "modules/generated/spkit.mea.egm_features.rst", "modules/generated/spkit.mea.extract_egm.rst", "modules/generated/spkit.mea.find_bad_channels_idx.rst", "modules/generated/spkit.mea.get_stim_loc.rst", "modules/generated/spkit.mea.mat_1_show.rst", "modules/generated/spkit.mea.mat_list_show.rst", "modules/generated/spkit.mea.mea_feature_map.rst", "modules/generated/spkit.mea.plot_mea_grid.rst", "modules/generated/spkit.mea.unarrange_mea_grid.rst", "modules/generated/spkit.mean_minSE.rst", "modules/generated/spkit.minMSE.rst", "modules/generated/spkit.ml.ClassificationTree.rst", "modules/generated/spkit.ml.DecisionTree.rst", "modules/generated/spkit.ml.LogisticRegression.rst", "modules/generated/spkit.ml.NaiveBayes.rst", "modules/generated/spkit.ml.RegressionTree.rst", "modules/generated/spkit.mutual_info.rst", "modules/generated/spkit.mutual_info_diff.rst", "modules/generated/spkit.mutual_info_diff_self.rst", "modules/generated/spkit.partial_transfer_entropy.rst", "modules/generated/spkit.peak_detection.rst", "modules/generated/spkit.peak_interp.rst", "modules/generated/spkit.periodogram.rst", "modules/generated/spkit.phase_map.rst", "modules/generated/spkit.phase_map_reconstruction.rst", "modules/generated/spkit.plotJointEntropyXY.rst", "modules/generated/spkit.quantize_FD.rst", "modules/generated/spkit.quantize_signal.rst", "modules/generated/spkit.ramanujan_filter.rst", "modules/generated/spkit.ramanujan_filter_prange.rst", "modules/generated/spkit.regularised_period_estimation.rst", "modules/generated/spkit.show_compass.rst", "modules/generated/spkit.show_farmulas.rst", "modules/generated/spkit.signal_delayed_space.rst", "modules/generated/spkit.signal_diff.rst", "modules/generated/spkit.simplify_signal.rst", "modules/generated/spkit.sinc_dirichlet.rst", "modules/generated/spkit.sinc_interp.rst", "modules/generated/spkit.sineModel_analysis.rst", "modules/generated/spkit.sineModel_synthesis.rst", "modules/generated/spkit.sine_spectrum.rst", "modules/generated/spkit.sine_tracking.rst", "modules/generated/spkit.sinetracks_cleaning.rst", "modules/generated/spkit.spatial_filter_adj.rst", "modules/generated/spkit.spatial_filter_dist.rst", "modules/generated/spkit.stats.get_stats.rst", "modules/generated/spkit.stats.outliers.rst", "modules/generated/spkit.stats.plot_groups_boxes.rst", "modules/generated/spkit.stats.quick_stats.rst", "modules/generated/spkit.stats.test_2groups.rst", "modules/generated/spkit.stats.test_groups.rst", "modules/generated/spkit.stft_analysis.rst", "modules/generated/spkit.stft_synthesis.rst", "modules/generated/spkit.total_variation.rst", "modules/generated/spkit.total_variation_win.rst", "modules/generated/spkit.transfer_entropy.rst", "modules/generated/spkit.transfer_entropy_cond.rst", "modules/generated/spkit.utils.ProgBar.rst", "modules/generated/spkit.utils.ProgBar_JL.rst", "modules/generated/spkit.utils.bcolors.rst", "modules/generated/spkit.utils.pretty_print.rst", "modules/generated/spkit.utils.txcolors.rst", "modules/generated/spkit.utils.view_hierarchical_order.rst", "modules/generated/spkit.wavelet_decomposed_signals.rst", "modules/generated/spkit.wavelet_filtering.rst", "modules/generated/spkit.wavelet_filtering_win.rst", "modules/generated/spkit.wpa_coeff.rst", "modules/generated/spkit.wpa_coeff_win.rst", "modules/information_theory.rst", "modules/ioutils.rst", "modules/it_apps.rst", "modules/it_disperssion_differential.rst", "modules/it_entropy.rst", "modules/machine_learning.rst", "modules/ml_decision_trees.rst", "modules/ml_logistic_regression.rst", "modules/ml_naive_bayes.rst", "modules/signal_processing.rst", "modules/sp_cwt.rst", "modules/sp_dft.rst", "modules/sp_differentiation.rst", "modules/sp_dwt.rst", "modules/sp_filtering_drift.rst", "modules/sp_filtering_graph.rst", "modules/sp_filtering_kernel.rst", "modules/sp_filtering_pipe.rst", "modules/sp_filtering_smooth.rst", "modules/sp_filtering_spatial.rst", "modules/sp_filtering_spectral.rst", "modules/sp_frft.rst", "modules/sp_mapping.rst", "modules/sp_more.rst", "modules/sp_ramanujan.rst", "modules/sp_simplify.rst", "modules/sp_sinusoidal.rst", "modules/sp_stft.rst", "modules/spsignal_analysis.rst", "modules/spsignal_filtering.rst", "modules/spwavelet_analysis.rst", "modules/statisticsutils.rst", "modules/statsfun.rst", "modules/utils.rst", "related_projects.rst", "sg_execution_times.rst", "tune_toc.rst", "tutorials/index.rst", "tutorials/signal_processing/index.rst", "user_guide.rst", "whats_new.rst", "whats_new/_contributors.rst", "whats_new/index.rst", "whats_new/v0.0.9.6.rst", "whats_new/v0.0.9.7.rst"], "titles": ["Electroencephalography (EEG)", "ATAR Algorithm with MNE RAW Object", "ATAR: Automatic and Tunable Artifact Removal Algorithm", "EEG Data from EDF File", "Independed Principle Component analysis", "EEG Artifact removal using ATAR", "EEG Artifact removal using ICA", "EEG Artifact: ATAR and ICA", "EEG Computing Rhythmic Features - PhyAAt - Semanticity", "EEG Topographic Map", "Computation times", "Examples", "Information Theory", "Dispersion Entropy with Embedding dim", "Dispersion Entropy with top patterns", "Entropy  -  Discreet Source", "Entropy  -  EEG Signal - Multi-Channel", "Entropy  -  Real-Valued Source", "Sample and Approximate Entropy: Comparison", "Computation times", "Machine Learning", "Decision Trees without converting Catogorical Features", "Classification Trees: Depth &amp; Decision boundaries", "Decision Trees with shrinking capability - Classification example", "Decision Trees with shrinking capability - Regression example", "Decision Trees with visualisations while buiding tree", "Logistic Regression -  Visualisation", "Naive Bayes classifier -  Visualisation", "Computation times", "Multi-Electrode-Array (MEA)", "MEA: Minimal Setting: Example", "MEA: Step-wise Analysis: Example", "Computation times", "Release Highlights", "Release Highlights for spkit 0.0.9.6", "Release Highlights for spkit 0.0.9.7", "Computation times", "Computation times", "Signal Processing", "Ramanujan Filter Banks -  Demos", "Ramanujan Filter Banks Example", "Ramanujan Dictionary  - with sparse penalty", "Analysis and Synthesis Models", "Fractional Fourier Transform: FRFT", "Sinusoidal Model:  Analysis and Synthesis", "Sinusoidal Model : Synthesis : Audio", "Computation times", "Statistics", "Auditory Attention: Plot Group Data", "Testing two groups", "Computation times", "Wavelet Analysis", "Scalogram CWT", "Wavelet Filtering", "Computation times", "Contributing", "Development", "Versions", "Empty Page", "Getting Started", "<span class=\"section-number\">1. </span>Installing spkit", "Table Of Contents", "&lt;no title&gt;", "&lt;no title&gt;", "<span class=\"section-number\">5. </span>Biomedical Signal Processing", "<span class=\"section-number\">5.2. </span>ECG: Electrocardiography", "<span class=\"section-number\">5.1. </span>EEG: Electroencephalography", "<span class=\"section-number\">5.3. </span>EGM: Electrogram", "<span class=\"section-number\">5.4. </span>MEA: Multi-Electrode Array Processing", "API Reference", "<span class=\"section-number\">8. </span>Data Samples", "Data2 Samples", "<span class=\"section-number\">8.1. </span>Real-world-Samples", "<span class=\"section-number\">8.2. </span>Simulation", "Electrogram", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.A_law", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.create_dictionary", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.ICA", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.Mu_law", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.OutLiers", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.PCA", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.PeriodStrength", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.RFB", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.RFB_example_1", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.RFB_example_2", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.RFB_prange", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.SVD", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.TD_Embed", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.TWM_algo", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.TWM_f0", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.wpa_plot", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.WPA_temporal", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.Wavelet_decompositions", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.add_noise", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.agg_angles", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.bin_width", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.blackman_lobe", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.cdf_mapping", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.clean_phase", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.conv1d_fb", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.conv1d_fft", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.conv1d_nan", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.conv2d_nan", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.create_multidim_space_signal", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.create_signal_1d", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.create_signal_2d", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.cwt</span></code>.GaborWave", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.cwt</span></code>.GaussWave", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.cwt</span></code>.MorlateWave", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.cwt</span></code>.PoissonWave", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.cwt</span></code>.ScalogramCWT", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.cwt</span></code>.ShannonWave", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.cwt</span></code>.WavePSD", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.cwt</span></code>.cMaxicanHatWave", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.cwt</span></code>.compare_cwt_example", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.create_dataset", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.ecg_sample", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.ecg_sample_12leads", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.eda_sample", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.eeg_sample_14ch", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.eeg_sample_1ch", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.eeg_sample_artifact", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.egm_sample", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.gaussian", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.gsr_sample", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.linear", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.linear_data", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.mclass_gauss", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.moons", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.optical_sample", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.ppg_sample", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.primitive_polynomials", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.sinusoidal", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.data</span></code>.spiral", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.denorm_kernel", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.dft_analysis", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.dft_synthesis", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.direction_flow_map", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.dispersion_entropy", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.dispersion_entropy_multiscale_refined", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.dominent_freq", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.dominent_freq_win", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.ATAR", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.ATAR_1Ch", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.ATAR_mCh", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.gen_ssfi", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.ICA_filtering", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.RhythmicDecomposition", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.topomap", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.TopoMap_Zi", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.display_topo_RGB", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.rhythmic_powers", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.rhythmic_powers_win", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.s1005_get_epos2d", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.s1010_get_epos2d", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.s1020_get_epos2d", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.eeg</span></code>.showTOPO", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.elbow_knee_point", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_approx", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_cond", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_cross", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_diff_cond", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_diff_cond_self", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_diff_joint", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_diff_joint_cond", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_differential", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_granger_causality", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_joint", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_kld", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_permutation", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_sample", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_spectral", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.entropy_svd", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.f0_detection", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.ffrft", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.fill_nans_1d", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.fill_nans_2d", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.filterDC", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.filterDC_sGolay", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.filter_X", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.filter_powerline", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.filter_smooth_gauss", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.filter_smooth_mollifier", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.filter_smooth_sGolay", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.filter_with_kernel", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.filtering_pipeline", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.frft", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.friedrichs_mollifier_kernel", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.gaussian_kernel", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.Inter2DPlane", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.TriAng", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.area_tri", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.car2spar", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.dir_vectors", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.divide_space", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.getTriFaces", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.getTriFaces_V2", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_PCA", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_adjacency_matrix_depth", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_adjacency_matrix_dist", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_adjacency_matrix_kNN", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_center", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_circle", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_circular_grid", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_ellipsoid", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_neibours", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_optimal_projection", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_plane", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_sphare", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_square", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.get_square_grid", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.lin_inter", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.node2C_to_adjacency_matrix", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.opt_project", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.plot_proj", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.rotation_matrix", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.spar2car", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.surface_plot_mayavi", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.geometry</span></code>.surface_reconstruction", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.getQuickStats", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.getStats", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.get_activation_time", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.get_repolarisation_time", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.graph_filter_adj", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.graph_filter_dist", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.hist_plot", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.iffrft", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.ifrft", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.io</span></code>.read_bdf", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.io</span></code>.read_hdf", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.io</span></code>.read_surf", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.io</span></code>.read_surf_file", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.io</span></code>.read_vtk", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.io</span></code>.write_vtk", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.is_power2", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.low_resolution", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.activation_repol_time_loc", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.activation_time_loc", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.align_cycles", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.analyse_mea_file", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.arrange_mea_grid", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.compute_cv", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.egm_features", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.extract_egm", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.find_bad_channels_idx", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.get_stim_loc", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.mat_1_show", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.mat_list_show", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.mea_feature_map", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.plot_mea_grid", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.mea</span></code>.unarrange_mea_grid", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.mean_minSE", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.minMSE", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.ml</span></code>.ClassificationTree", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.ml</span></code>.DecisionTree", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.ml</span></code>.LogisticRegression", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.ml</span></code>.NaiveBayes", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.ml</span></code>.RegressionTree", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.mutual_info", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.mutual_info_diff", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.mutual_info_diff_self", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.partial_transfer_entropy", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.peak_detection", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.peak_interp", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.periodogram", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.phase_map", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.phase_map_reconstruction", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.plotJointEntropyXY", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.quantize_FD", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.quantize_signal", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.ramanujan_filter", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.ramanujan_filter_prange", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.regularised_period_estimation", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.show_compass", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.show_farmulas", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.signal_delayed_space", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.signal_diff", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.simplify_signal", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.sinc_dirichlet", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.sinc_interp", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.sineModel_analysis", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.sineModel_synthesis", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.sine_spectrum", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.sine_tracking", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.sinetracks_cleaning", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.spatial_filter_adj", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.spatial_filter_dist", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.stats</span></code>.get_stats", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.stats</span></code>.outliers", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.stats</span></code>.plot_groups_boxes", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.stats</span></code>.quick_stats", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.stats</span></code>.test_2groups", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.stats</span></code>.test_groups", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.stft_analysis", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.stft_synthesis", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.total_variation", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.total_variation_win", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.transfer_entropy", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.transfer_entropy_cond", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.utils</span></code>.ProgBar", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.utils</span></code>.ProgBar_JL", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.utils</span></code>.bcolors", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.utils</span></code>.pretty_print", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.utils</span></code>.txcolors", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit.utils</span></code>.view_hierarchical_order", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.wavelet_decomposed_signals", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.wavelet_filtering", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.wavelet_filtering_win", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.wpa_coeff", "<code class=\"xref py py-mod docutils literal notranslate\"><span class=\"pre\">spkit</span></code>.wpa_coeff_win", "<span class=\"section-number\">1. </span>Information Theory", "<span class=\"section-number\">7.2. </span>IO Read/Write", "<span class=\"section-number\">1.3. </span>Applications", "<span class=\"section-number\">1.2. </span>Dispersion and Differential Entropy", "<span class=\"section-number\">1.1. </span>Entropy", "<span class=\"section-number\">6. </span>Machine Learning", "<span class=\"section-number\">6.3. </span>Decision Trees", "<span class=\"section-number\">6.1. </span>Logistic Regression", "<span class=\"section-number\">6.2. </span>Naive Bayes", "Signal Processing", "<span class=\"section-number\">3.1. </span>Continues Wavelet Transform", "<span class=\"section-number\">4.1. </span>Discrete Fourier Transfer", "<span class=\"section-number\">4.6. </span>Differentiation", "<span class=\"section-number\">3.2. </span>Discreet Wavelet Transform", "<span class=\"section-number\">2.1. </span>Drift Removing", "<span class=\"section-number\">2.7. </span>Graph Filtering", "<span class=\"section-number\">2.4. </span>Kernel Filtering", "<span class=\"section-number\">2.5. </span>Filtering Pipeline", "<span class=\"section-number\">2.2. </span>Smoothing", "<span class=\"section-number\">2.6. </span>Spatial Filtering (3D)", "<span class=\"section-number\">2.3. </span>Spectral Filtering", "<span class=\"section-number\">4.3. </span>Fractional Fourier Transform", "<span class=\"section-number\">4.8. </span>Signal Temporal Mapping", "Continues Wavelet Transform", "<span class=\"section-number\">4.5. </span>Ramanujan Methods", "<span class=\"section-number\">4.7. </span>Simplifying a complex signal", "<span class=\"section-number\">4.4. </span>Sinusoidal Model", "<span class=\"section-number\">4.2. </span>Short-Time Fourier Transform", "<span class=\"section-number\">4. </span>Signal Analysis", "<span class=\"section-number\">2. </span>Signal Filtering", "<span class=\"section-number\">3. </span>Wavelet Analysis", "<span class=\"section-number\">7. </span>Statistics/Utilities", "<span class=\"section-number\">7.1. </span>Statistics", "<span class=\"section-number\">7.3. </span>Utilities", "Empty Page", "Computation times", "&lt;no title&gt;", "Tutorials", "Signal Processing", "User guide: contents", "Release History", "&lt;no title&gt;", "Version 0.0.9.7", "Version 0.0.9.6", "Version 0.0.9.7"], "terms": {"click": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 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304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355], "detail": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355], "exampl": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 28, 29, 32, 33, 34, 36, 37, 38, 41, 42, 43, 45, 46, 47, 48, 50, 51, 53, 54, 61, 63, 69, 75, 76, 78, 79, 82, 85, 86, 87, 90, 91, 92, 94, 96, 97, 98, 99, 100, 103, 106, 107, 108, 109, 111, 113, 116, 118, 121, 122, 123, 124, 125, 127, 128, 129, 130, 131, 132, 133, 134, 139, 140, 141, 143, 144, 145, 147, 157, 162, 163, 164, 165, 166, 167, 170, 172, 173, 174, 175, 178, 181, 182, 183, 184, 185, 186, 188, 189, 200, 201, 205, 221, 222, 223, 224, 225, 227, 231, 233, 234, 236, 251, 252, 253, 260, 261, 262, 263, 264, 265, 266, 267, 270, 274, 276, 277, 278, 279, 280, 283, 284, 285, 286, 287, 288, 289, 291, 293, 296, 297, 298, 299, 300, 302, 304, 305, 308, 309, 310, 321, 346, 348], "signal": [0, 2, 12, 13, 14, 17, 19, 30, 31, 42, 43, 52, 53, 59, 61, 66, 68, 70, 75, 76, 77, 78, 81, 82, 83, 84, 85, 87, 90, 92, 93, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 118, 119, 120, 121, 122, 124, 129, 130, 135, 136, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 151, 152, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 222, 223, 227, 228, 229, 230, 236, 237, 238, 239, 240, 243, 244, 245, 246, 250, 252, 259, 260, 261, 262, 263, 264, 265, 266, 267, 269, 270, 271, 272, 273, 276, 277, 278, 280, 281, 282, 294, 295, 296, 297, 298, 299, 306, 307, 308, 309, 310, 314, 315, 325, 329, 341, 346, 350, 353, 354, 355], "process": [0, 2, 21, 25, 53, 59, 61, 66, 76, 81, 82, 85, 116, 117, 118, 119, 120, 121, 122, 124, 129, 130, 134, 142, 144, 146, 186, 222, 237, 238, 270, 271, 272, 273, 277, 314, 315, 324, 325, 350, 353, 355], "atar": [0, 3, 4, 6, 8, 9, 10, 11, 13, 30, 31, 53, 121, 143, 144, 146, 303, 346, 353, 354, 355], "automat": [0, 1, 5, 6, 7, 10, 11, 13, 53, 66, 142, 143, 144, 146, 346, 353, 354, 355], "tunabl": [0, 1, 5, 6, 7, 10, 11, 13, 53, 66, 142, 143, 144, 346, 353, 354, 355], "artifact": [0, 1, 3, 4, 8, 10, 11, 13, 16, 31, 39, 53, 64, 121, 142, 143, 144, 146, 177, 228, 240, 267, 325, 346, 348, 350, 353, 354, 355], "remov": [0, 1, 3, 4, 8, 10, 11, 13, 16, 31, 39, 53, 64, 81, 82, 85, 98, 121, 142, 143, 144, 146, 177, 178, 179, 181, 184, 186, 228, 236, 240, 244, 267, 277, 289, 307, 308, 324, 331, 333, 340, 346, 348, 350, 353, 354, 355], "algorithm": [0, 3, 5, 6, 7, 9, 10, 11, 13, 30, 31, 34, 38, 53, 75, 77, 78, 88, 89, 142, 143, 144, 146, 157, 174, 303, 324, 333, 346, 353, 354, 355], "us": [0, 1, 3, 4, 8, 10, 11, 13, 16, 17, 21, 23, 24, 25, 27, 30, 31, 34, 35, 39, 41, 52, 53, 55, 60, 66, 68, 76, 78, 79, 81, 82, 85, 90, 94, 99, 100, 106, 107, 108, 109, 111, 112, 113, 118, 121, 124, 125, 134, 140, 141, 143, 144, 145, 147, 157, 163, 166, 167, 172, 174, 178, 182, 183, 184, 185, 186, 188, 195, 208, 218, 222, 223, 224, 225, 227, 234, 255, 264, 265, 266, 267, 269, 270, 275, 277, 280, 283, 286, 287, 289, 293, 298, 305, 308, 314, 315, 324, 325, 329, 333, 339, 340, 346, 350, 353, 354, 355], "ica": [0, 2, 3, 5, 8, 9, 10, 11, 13, 16, 31, 39, 121, 142, 143, 144, 146, 346, 353, 354, 355], "comput": [0, 2, 3, 4, 5, 6, 9, 11, 13, 14, 15, 16, 17, 18, 27, 30, 48, 49, 53, 64, 77, 80, 81, 95, 96, 101, 102, 109, 110, 135, 137, 139, 140, 141, 142, 143, 144, 146, 147, 148, 151, 152, 157, 158, 160, 161, 166, 168, 169, 170, 183, 188, 192, 194, 222, 223, 224, 225, 226, 237, 238, 239, 240, 242, 243, 244, 245, 246, 250, 252, 254, 255, 256, 257, 258, 259, 265, 266, 267, 270, 273, 277, 279, 286, 287, 289, 290, 294, 306, 307, 308, 314, 315, 324, 350, 353, 354, 355], "rhythmic": [0, 3, 6, 10, 11, 14, 18, 48, 49, 152, 290, 346], "featur": [0, 3, 6, 9, 10, 11, 14, 17, 18, 20, 22, 23, 24, 25, 26, 27, 28, 30, 33, 35, 48, 49, 53, 64, 77, 145, 183, 188, 240, 241, 243, 247, 248, 249, 251, 254, 255, 256, 257, 258, 274, 290, 329, 346, 350, 351, 352, 353, 354, 355], "phyaat": [0, 3, 6, 9, 10, 11, 14, 18, 48, 49, 60, 66, 72, 118, 119, 120, 121, 124, 130, 290, 346], "semant": [0, 3, 6, 9, 10, 11, 14, 18, 48, 49, 66, 290, 346], "topograph": [0, 10, 11, 148, 149, 150, 152, 155, 156, 346], "map": [0, 10, 11, 64, 75, 77, 78, 97, 110, 116, 117, 118, 119, 120, 121, 122, 124, 129, 130, 137, 138, 139, 142, 143, 144, 148, 149, 150, 152, 155, 156, 180, 236, 240, 242, 266, 267, 270, 314, 339, 346, 350], "independ": [0, 5, 7, 10, 11, 66, 77, 142, 143, 144, 346], "principl": [0, 5, 7, 10, 11, 77, 80, 277, 346, 348], "compon": [0, 5, 6, 7, 10, 11, 66, 77, 80, 92, 140, 141, 146, 172, 178, 179, 306, 315, 325, 346], "analysi": [0, 1, 5, 7, 9, 10, 14, 15, 17, 18, 23, 24, 29, 30, 32, 34, 35, 38, 43, 45, 46, 52, 59, 61, 64, 66, 77, 80, 106, 107, 108, 109, 111, 113, 135, 136, 137, 140, 141, 174, 187, 228, 230, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 278, 281, 282, 283, 294, 295, 346, 350], "go": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53, 254, 255], "end": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53, 90, 104, 186, 243, 300, 301, 310], "download": [2, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 45, 48, 49, 52, 53, 57, 155, 237, 238, 239, 240, 243, 244, 245, 246, 250], "full": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53, 68, 69, 86, 148, 182, 183, 185, 229, 230, 231, 233, 237, 238, 240], "code": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53, 76, 81, 82, 85, 106, 107, 108, 109, 111, 113, 240, 271, 272, 273, 275, 279, 354], "run": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53, 60, 77, 178, 292, 293, 324], "thi": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53, 60, 66, 68, 69, 101, 102, 112, 137, 138, 139, 140, 141, 146, 148, 157, 177, 183, 188, 223, 224, 225, 240, 243, 245, 246, 255, 257, 277, 286, 287, 289, 314, 315, 329, 348, 349, 351, 354], "your": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53, 60, 146, 240, 314], "browser": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53], "via": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53, 72, 240, 354], "jupyterlit": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53], "binder": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 34, 35, 39, 40, 41, 42, 43, 44, 45, 48, 49, 52, 53, 348], "The": [2, 13, 14, 22, 49, 53, 75, 76, 77, 78, 106, 107, 140, 157, 170, 224, 225, 240, 255, 257, 286, 287, 314, 315, 321, 324, 325, 333, 354], "i": [1, 2, 3, 4, 5, 6, 8, 13, 14, 16, 17, 18, 21, 22, 23, 24, 25, 30, 31, 34, 35, 40, 49, 53, 59, 60, 64, 66, 72, 75, 76, 77, 78, 79, 81, 82, 85, 90, 93, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 115, 118, 119, 120, 121, 123, 124, 125, 127, 128, 130, 131, 132, 133, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 148, 151, 152, 153, 154, 155, 157, 158, 159, 160, 161, 162, 163, 165, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 180, 183, 184, 186, 188, 194, 200, 201, 222, 223, 224, 225, 226, 227, 228, 229, 230, 235, 236, 237, 238, 239, 240, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 255, 256, 258, 259, 260, 261, 262, 265, 267, 270, 271, 272, 273, 274, 275, 277, 278, 286, 287, 289, 290, 292, 293, 294, 298, 299, 300, 301, 305, 306, 307, 308, 310, 321, 324, 325, 329, 331, 333, 348, 350, 353, 354, 355], "base": [2, 6, 7, 30, 31, 66, 92, 95, 142, 143, 144, 146, 151, 152, 157, 158, 160, 161, 167, 168, 169, 170, 172, 173, 199, 200, 201, 222, 223, 238, 240, 243, 245, 254, 257, 258, 259, 262, 270, 275, 294, 298, 299, 306, 314, 353, 354, 355], "packet": [2, 90, 91, 142, 143, 144, 306, 307, 308, 309, 310], "decompos": [2, 5, 44, 53, 66, 77, 92, 142, 143, 144, 147, 151, 152, 281, 306, 307, 320, 341, 350, 353, 354, 355], "wpd": [2, 35, 53, 92, 142, 143, 144, 306, 307, 308, 324], "descript": 2, "can": [1, 2, 21, 22, 23, 24, 35, 53, 55, 60, 66, 95, 115, 137, 138, 139, 140, 148, 174, 177, 183, 186, 188, 222, 223, 224, 225, 240, 243, 246, 247, 249, 254, 255, 257, 258, 270, 274, 286, 287, 290, 294, 305, 315, 324, 329, 354], "found": [2, 13, 30, 31, 89, 138, 139, 174, 314], "here": [2, 21, 35, 60, 66, 68, 69, 159, 171, 240, 314, 315, 324, 348], "eeg": [2, 10, 12, 13, 14, 17, 18, 19, 30, 31, 35, 39, 48, 49, 52, 53, 59, 61, 64, 70, 77, 110, 116, 117, 118, 119, 120, 121, 122, 124, 129, 130, 160, 161, 168, 169, 180, 229, 259, 263, 264, 290, 303, 346, 348, 350, 353, 355], "from": [0, 1, 2, 4, 6, 7, 8, 9, 10, 11, 19, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 35, 36, 37, 41, 42, 45, 46, 50, 52, 54, 57, 60, 68, 72, 76, 77, 81, 82, 85, 86, 89, 97, 98, 101, 104, 110, 112, 115, 123, 125, 127, 128, 131, 132, 133, 136, 140, 148, 151, 155, 167, 168, 172, 174, 178, 179, 180, 184, 186, 195, 201, 213, 223, 229, 230, 237, 238, 240, 243, 244, 246, 249, 254, 255, 256, 257, 258, 262, 263, 264, 270, 271, 272, 273, 278, 281, 282, 283, 284, 289, 295, 298, 299, 303, 306, 315, 321, 325, 333, 346, 348, 353, 354, 355], "articl": [2, 6, 53, 66, 140, 141, 146, 222, 223, 324, 353, 354, 355], "1": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 30, 35, 40, 41, 43, 44, 45, 48, 52, 53, 57, 60, 62, 63, 64, 66, 72, 73, 75, 76, 77, 78, 79, 81, 82, 83, 85, 86, 87, 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14, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 31, 35, 40, 41, 42, 43, 44, 48, 52, 64, 72, 75, 77, 78, 82, 85, 86, 87, 90, 93, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 111, 113, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 127, 128, 129, 130, 132, 133, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 151, 152, 153, 154, 155, 172, 175, 177, 178, 179, 180, 182, 183, 184, 185, 186, 187, 188, 189, 222, 223, 227, 228, 236, 237, 238, 239, 240, 242, 243, 244, 246, 247, 248, 249, 250, 254, 256, 257, 258, 263, 264, 265, 266, 267, 270, 271, 272, 276, 277, 278, 280, 289, 290, 294, 297, 306, 307, 308, 309, 310, 314, 315, 321, 333, 350], "show": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25, 26, 27, 31, 35, 40, 41, 42, 43, 44, 45, 48, 52, 53, 60, 72, 75, 77, 78, 82, 83, 84, 85, 86, 87, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 111, 113, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 127, 128, 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[1, 66], "object": [1, 66], "put": 1, "back": 1, "origin": 1, "work": 66, "differ": 66, "framework": 66, "obj": []}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx": 60}, "alltitles": {"Independed Principle Component analysis": [[4, "independed-principle-component-analysis"]], "Load and filter EEG Signal": [[4, "load-and-filter-eeg-signal"], [5, "load-and-filter-eeg-signal"], [7, "load-and-filter-eeg-signal"], [6, "load-and-filter-eeg-signal"], [9, "load-and-filter-eeg-signal"]], "Applying ICA": [[4, "applying-ica"]], "Plots": [[4, "plots"], [5, "plots"]], "Decomposition and Construction matrices (Extended InfoMax)": [[4, "decomposition-and-construction-matrices-extended-infomax"]], "EEG Artifact removal using ATAR": [[5, "eeg-artifact-removal-using-atar"]], "ATAR: Linear Attenuation Mode": [[5, "atar-linear-attenuation-mode"]], "ATAR - Elimination Mode": [[5, "atar-elimination-mode"]], "Information Theory": [[12, "information-theory"], [311, "information-theory"], [348, "information-theory"], [11, "information-theory"]], "Entropy  -  Discreet Source": [[15, "entropy-discreet-source"]], "Entropy  -  Real-Valued Source": [[17, "entropy-real-valued-source"]], "Sample and Approximate Entropy: Comparison": [[18, "sample-and-approximate-entropy-comparison"]], "Computation times": [[19, "computation-times"], [28, "computation-times"], [32, "computation-times"], [36, "computation-times"], [37, "computation-times"], [46, "computation-times"], [50, "computation-times"], [54, "computation-times"], [10, "computation-times"], [346, "computation-times"]], "Machine Learning": [[20, "machine-learning"], [69, "machine-learning"], [316, "machine-learning"], [348, "machine-learning"], [11, "machine-learning"]], "Classification Trees: Depth & Decision boundaries": [[22, "classification-trees-depth-decision-boundaries"]], "Decision Trees with shrinking capability - Classification example": [[23, "decision-trees-with-shrinking-capability-classification-example"]], "Decision Trees with shrinking capability - Regression example": [[24, "decision-trees-with-shrinking-capability-regression-example"]], "Decision Trees with visualisations while buiding tree": [[25, "decision-trees-with-visualisations-while-buiding-tree"]], "Logistic Regression -  Visualisation": [[26, "logistic-regression-visualisation"]], "Naive Bayes classifier -  Visualisation": [[27, "naive-bayes-classifier-visualisation"]], "Example 1 : Iris dataset": [[27, "example-1-iris-dataset"]], "Example 2: Breast Cancer": [[27, "example-2-breast-cancer"]], "Example 3:: Digit Classification": [[27, "example-3-digit-classification"]], "Multi-Electrode-Array (MEA)": [[29, "multi-electrode-array-mea"], [11, "multi-electrode-array-mea"]], "Release Highlights": [[33, "release-highlights"], [11, "release-highlights"]], "Signal Processing": [[38, "signal-processing"], [349, "signal-processing"], [348, "signal-processing"], [11, "signal-processing"], [320, "signal-processing"]], "Ramanujan Filter Banks Example": [[40, "ramanujan-filter-banks-example"]], "Signal with period 10 and SNR = 0": [[40, "signal-with-period-10-and-snr-0"]], "Period Estimation from specific range of period": [[40, "period-estimation-from-specific-range-of-period"]], "Multiple Periods": [[40, "multiple-periods"]], "Ramanujan Dictionary  - with sparse penalty": [[41, "ramanujan-dictionary-with-sparse-penalty"]], "Signal with 3-periods and SNR=10": [[41, "signal-with-3-periods-and-snr-10"]], "Fractional Fourier Transform: FRFT": [[43, "fractional-fourier-transform-frft"]], "Sinusoidal Model : Synthesis : Audio": [[45, "sinusoidal-model-synthesis-audio"]], "Statistics": [[47, "statistics"], [69, "statistics"], [343, "statistics"], [11, "statistics"]], "Auditory Attention: Plot Group Data": [[48, "auditory-attention-plot-group-data"]], "Wavelet Analysis": [[51, "wavelet-analysis"], [69, "wavelet-analysis"], [69, "id4"], [341, "wavelet-analysis"], [349, "wavelet-analysis"], [11, "wavelet-analysis"], [320, "wavelet-analysis"]], "Contributing": [[55, "contributing"]], "How to contibute or Involve?": [[55, "how-to-contibute-or-involve"]], "Development": [[56, "development"]], "Testing functions and fixing bugs": [[56, "testing-functions-and-fixing-bugs"]], "Documentation Improving": [[56, "documentation-improving"]], "User Guide Improving": [[56, "user-guide-improving"]], "Developing Tutorials": [[56, "developing-tutorials"]], "Adding new algorithms": [[56, "adding-new-algorithms"]], "Versions": [[57, "versions"]], "Empty Page": [[58, "empty-page"], [345, "empty-page"]], "Heading": [[58, "heading"], [345, "heading"]], "Getting Started": [[59, "getting-started"]], "Install": [[59, "install"]], "Sample Data": [[59, "sample-data"]], "Examples": [[59, "examples"], [11, "examples"]], "API": [[59, "api"]], "Table Of Contents": [[61, "table-of-contents"]], "API Reference": [[69, "api-reference"]], "Entropy Funtions": [[69, "entropy-funtions"]], "spkit.core": [[69, "spkit-core"], [69, "id1"], [69, "id2"], [69, "id3"]], "Information Theory - Advanced": [[69, "information-theory-advanced"]], "Filtering - Signal Processing": [[69, "filtering-signal-processing"]], "spkit.core.processing": [[69, "spkit-core-processing"], [354, "spkit-core-processing"]], "Analysis & Sythesis Models": [[69, "analysis-sythesis-models"]], "spkit.core.advnace_techniques": [[69, "spkit-core-advnace-techniques"]], "spkit.core : DWT": [[69, "spkit-core-dwt"]], "spkit.cwt: CWT": [[69, "spkit-cwt-cwt"]], "Ramanujan Methods": [[69, "ramanujan-methods"], [69, "id5"], [335, "ramanujan-methods"]], "Simulate Signals": [[69, "simulate-signals"]], "EEG Signal Processing": [[69, "eeg-signal-processing"], [69, "id6"]], "spkit.eeg": [[69, "module-spkit.eeg"], [354, "spkit-eeg"]], "MEA  - Multi-Electrode Array": [[69, "mea-multi-electrode-array"]], "spkit.mea": [[69, "spkit-mea"], [354, "spkit-mea"]], "Signal Analysis and Processing": [[69, "signal-analysis-and-processing"]], "New Methods": [[69, "new-methods"]], "Signal Transformations/Mapping": [[69, "signal-transformations-mapping"]], "Event Analysis": [[69, "event-analysis"]], "Phase, Angles, Dominent Frequencies": [[69, "phase-angles-dominent-frequencies"]], "spkit.ml": [[69, "module-spkit.ml"], [354, "spkit-ml"]], "Sample Data & Simulate": [[69, "sample-data-simulate"]], "spkit.data": [[69, "module-spkit.data"]], "Sample of real data/signal": [[69, "sample-of-real-data-signal"]], "Simulation of Data": [[69, "simulation-of-data"]], "For Machine Learning": [[69, "for-machine-learning"]], "For Signal Processing": [[69, "for-signal-processing"]], "Matrix Decomposition": [[69, "matrix-decomposition"]], "Statististics": [[69, "statististics"]], "spkit.stats": [[69, "spkit-stats"], [354, "spkit-stats"]], "Read/Write Files I/O": [[69, "read-write-files-i-o"]], "spkit.io": [[69, "module-spkit.io"]], "Utilities": [[69, "utilities"], [344, "utilities"]], "spkit.utils": [[69, "spkit-utils"]], "Geometrical functions [UNDER DEVELOPMENT]": [[69, "geometrical-functions-under-development"]], "spkit.geometry": [[69, "spkit-geometry"]], "TO BE DEPRECATED": [[69, "to-be-deprecated"]], "IO Utilities": [[69, "io-utilities"]], "Data": [[69, "data"]], "Data Samples": [[70, "data-samples"]], "Real-world-Samples": [[72, "real-world-samples"]], "EEG-Sample": [[72, "eeg-sample"]], "14-Channel": [[72, "channel"]], "Single-Channel": [[72, "single-channel"]], "Artifact-Sample": [[72, "artifact-sample"]], "ECG-Sample": [[72, "ecg-sample"]], "12-lead ECG": [[72, "lead-ecg"]], "Single-lead ECG": [[72, "single-lead-ecg"], [72, "id1"]], "Optical Data": [[72, "optical-data"]], "Rabbit-Heart": [[72, "rabbit-heart"]], "PPG:  Photoplethysmogram": [[72, "ppg-photoplethysmogram"]], "GSR/EDA: Galvanic Skin Response": [[72, "gsr-eda-galvanic-skin-response"]], "Simulation": [[73, "simulation"]], "1D- Arbitary signal": [[73, "d-arbitary-signal"]], "2D-Image Patch": [[73, "d-image-patch"]], "2D-Data for ML": [[73, "d-data-for-ml"]], "Electrogram": [[74, "electrogram"]], "spkit.A_law": [[75, "spkit-a-law"]], "spkit.ICA": [[77, "spkit-ica"]], "Examples using spkit.ICA": [[77, "examples-using-spkit-ica"]], "spkit.Mu_law": [[78, "spkit-mu-law"]], "spkit.OutLiers": [[79, "spkit-outliers"]], "spkit.PCA": [[80, "spkit-pca"]], "spkit.PeriodStrength": [[81, "spkit-periodstrength"]], "spkit.RFB": [[82, "spkit-rfb"]], "spkit.RFB_example_1": [[83, "spkit-rfb-example-1"]], "Examples using spkit.RFB_example_1": [[83, "examples-using-spkit-rfb-example-1"]], "spkit.RFB_example_2": [[84, "spkit-rfb-example-2"]], "Examples using spkit.RFB_example_2": [[84, "examples-using-spkit-rfb-example-2"]], "spkit.RFB_prange": [[85, "spkit-rfb-prange"]], "spkit.SVD": [[86, "spkit-svd"]], "spkit.TD_Embed": [[87, "spkit-td-embed"]], "spkit.TWM_algo": [[88, "spkit-twm-algo"]], "spkit.TWM_f0": [[89, "spkit-twm-f0"]], "spkit.WPA_temporal": [[91, "spkit-wpa-temporal"]], "spkit.Wavelet_decompositions": [[92, "spkit-wavelet-decompositions"]], "spkit.add_noise": [[93, "spkit-add-noise"]], "Examples using spkit.add_noise": [[93, "examples-using-spkit-add-noise"]], "spkit.agg_angles": [[94, "spkit-agg-angles"]], "spkit.bin_width": [[95, "spkit-bin-width"]], "Examples using spkit.bin_width": [[95, "examples-using-spkit-bin-width"]], "spkit.blackman_lobe": [[96, "spkit-blackman-lobe"]], "spkit.cdf_mapping": [[97, "spkit-cdf-mapping"]], "spkit.clean_phase": [[98, "spkit-clean-phase"]], "spkit.conv1d_fb": [[99, "spkit-conv1d-fb"]], "spkit.conv1d_fft": [[100, "spkit-conv1d-fft"]], "spkit.conv1d_nan": [[101, "spkit-conv1d-nan"]], "Examples using spkit.conv1d_nan": [[101, "examples-using-spkit-conv1d-nan"]], "spkit.conv2d_nan": [[102, "spkit-conv2d-nan"]], "Examples using spkit.conv2d_nan": [[102, "examples-using-spkit-conv2d-nan"]], "spkit.create_multidim_space_signal": [[103, "spkit-create-multidim-space-signal"]], "spkit.create_signal_1d": [[104, "spkit-create-signal-1d"]], "Examples using spkit.create_signal_1d": [[104, "examples-using-spkit-create-signal-1d"]], "spkit.create_signal_2d": [[105, "spkit-create-signal-2d"]], "Examples using spkit.create_signal_2d": [[105, "examples-using-spkit-create-signal-2d"]], "spkit.cwt.GaborWave": [[106, "spkit-cwt-gaborwave"]], "spkit.cwt.GaussWave": [[107, "spkit-cwt-gausswave"]], "spkit.cwt.MorlateWave": [[108, "spkit-cwt-morlatewave"]], "spkit.cwt.PoissonWave": [[109, "spkit-cwt-poissonwave"]], "spkit.cwt.ScalogramCWT": [[110, "spkit-cwt-scalogramcwt"]], "Examples using spkit.cwt.ScalogramCWT": [[110, "examples-using-spkit-cwt-scalogramcwt"]], "spkit.cwt.ShannonWave": [[111, "spkit-cwt-shannonwave"]], "spkit.cwt.WavePSD": [[112, "spkit-cwt-wavepsd"]], "spkit.cwt.cMaxicanHatWave": [[113, "spkit-cwt-cmaxicanhatwave"]], "spkit.cwt.compare_cwt_example": [[114, "spkit-cwt-compare-cwt-example"]], "Examples using spkit.cwt.compare_cwt_example": [[114, "examples-using-spkit-cwt-compare-cwt-example"]], "spkit.data.create_dataset": [[115, "spkit-data-create-dataset"]], "Examples using spkit.data.create_dataset": [[115, "examples-using-spkit-data-create-dataset"]], "spkit.data.ecg_sample": [[116, "spkit-data-ecg-sample"]], "spkit.data.ecg_sample_12leads": [[117, "spkit-data-ecg-sample-12leads"]], "Examples using spkit.data.ecg_sample_12leads": [[117, "examples-using-spkit-data-ecg-sample-12leads"]], "spkit.data.eda_sample": [[118, "spkit-data-eda-sample"]], "spkit.data.eeg_sample_14ch": [[119, "spkit-data-eeg-sample-14ch"]], "Examples using spkit.data.eeg_sample_14ch": [[119, "examples-using-spkit-data-eeg-sample-14ch"]], "spkit.data.eeg_sample_1ch": [[120, "spkit-data-eeg-sample-1ch"]], "Examples using spkit.data.eeg_sample_1ch": [[120, "examples-using-spkit-data-eeg-sample-1ch"]], "spkit.data.eeg_sample_artifact": [[121, "spkit-data-eeg-sample-artifact"]], "spkit.data.egm_sample": [[122, "spkit-data-egm-sample"]], "spkit.data.gaussian": [[123, "spkit-data-gaussian"]], "spkit.data.gsr_sample": [[124, "spkit-data-gsr-sample"]], "spkit.data.linear": [[125, "spkit-data-linear"]], "spkit.data.linear_data": [[126, "spkit-data-linear-data"]], "spkit.data.mclass_gauss": [[127, "spkit-data-mclass-gauss"]], "spkit.data.moons": [[128, "spkit-data-moons"]], "spkit.data.optical_sample": [[129, "spkit-data-optical-sample"]], "spkit.data.ppg_sample": [[130, "spkit-data-ppg-sample"]], "spkit.data.primitive_polynomials": [[131, "spkit-data-primitive-polynomials"]], "spkit.data.sinusoidal": [[132, "spkit-data-sinusoidal"]], "spkit.data.spiral": [[133, "spkit-data-spiral"]], "spkit.denorm_kernel": [[134, "spkit-denorm-kernel"]], "spkit.dft_analysis": [[135, "spkit-dft-analysis"]], "Examples using spkit.dft_analysis": [[135, "examples-using-spkit-dft-analysis"]], "spkit.dft_synthesis": [[136, "spkit-dft-synthesis"]], "Examples using spkit.dft_synthesis": [[136, "examples-using-spkit-dft-synthesis"]], "spkit.direction_flow_map": [[137, "spkit-direction-flow-map"]], "Examples using spkit.direction_flow_map": [[137, "examples-using-spkit-direction-flow-map"]], "spkit.dispersion_entropy": [[138, "spkit-dispersion-entropy"]], "Examples using spkit.dispersion_entropy": [[138, "examples-using-spkit-dispersion-entropy"]], "spkit.dispersion_entropy_multiscale_refined": [[139, "spkit-dispersion-entropy-multiscale-refined"]], "spkit.dominent_freq": [[140, "spkit-dominent-freq"]], "spkit.dominent_freq_win": [[141, "spkit-dominent-freq-win"]], "spkit.eeg.ICA_filtering": [[146, "spkit-eeg-ica-filtering"]], "Examples using spkit.eeg.ICA_filtering": [[146, "examples-using-spkit-eeg-ica-filtering"]], "spkit.eeg.RhythmicDecomposition": [[147, "spkit-eeg-rhythmicdecomposition"]], "spkit.eeg.TopoMap_Zi": [[149, "spkit-eeg-topomap-zi"]], "spkit.eeg.display_topo_RGB": [[150, "spkit-eeg-display-topo-rgb"]], "spkit.eeg.rhythmic_powers_win": [[152, "spkit-eeg-rhythmic-powers-win"]], "Examples using spkit.eeg.rhythmic_powers_win": [[152, "examples-using-spkit-eeg-rhythmic-powers-win"]], "spkit.eeg.s1005_get_epos2d": [[153, "spkit-eeg-s1005-get-epos2d"]], "Examples using spkit.eeg.s1005_get_epos2d": [[153, "examples-using-spkit-eeg-s1005-get-epos2d"]], "spkit.eeg.s1010_get_epos2d": [[154, "spkit-eeg-s1010-get-epos2d"]], "Examples using spkit.eeg.s1010_get_epos2d": [[154, "examples-using-spkit-eeg-s1010-get-epos2d"]], "spkit.eeg.s1020_get_epos2d": [[155, "spkit-eeg-s1020-get-epos2d"]], "Examples using spkit.eeg.s1020_get_epos2d": [[155, "examples-using-spkit-eeg-s1020-get-epos2d"]], "spkit.eeg.showTOPO": [[156, "spkit-eeg-showtopo"]], "spkit.elbow_knee_point": [[157, "spkit-elbow-knee-point"]], "spkit.entropy": [[158, "spkit-entropy"]], "Examples using spkit.entropy": [[158, "examples-using-spkit-entropy"]], "spkit.entropy_approx": [[159, "spkit-entropy-approx"]], "Examples using spkit.entropy_approx": [[159, "examples-using-spkit-entropy-approx"]], "spkit.entropy_cond": [[160, "spkit-entropy-cond"]], "Examples using spkit.entropy_cond": [[160, "examples-using-spkit-entropy-cond"]], "spkit.entropy_cross": [[161, "spkit-entropy-cross"]], "Examples using spkit.entropy_cross": [[161, "examples-using-spkit-entropy-cross"]], "spkit.entropy_diff_cond": [[162, "spkit-entropy-diff-cond"]], "spkit.entropy_diff_cond_self": [[163, "spkit-entropy-diff-cond-self"]], "spkit.entropy_diff_joint": [[164, "spkit-entropy-diff-joint"]], "spkit.entropy_diff_joint_cond": [[165, "spkit-entropy-diff-joint-cond"]], "spkit.entropy_differential": [[166, "spkit-entropy-differential"]], "spkit.entropy_granger_causality": [[167, "spkit-entropy-granger-causality"]], "spkit.entropy_joint": [[168, "spkit-entropy-joint"]], "Examples using spkit.entropy_joint": [[168, "examples-using-spkit-entropy-joint"]], "spkit.entropy_kld": [[169, "spkit-entropy-kld"]], "Examples using spkit.entropy_kld": [[169, "examples-using-spkit-entropy-kld"]], "spkit.entropy_permutation": [[170, "spkit-entropy-permutation"]], "spkit.entropy_sample": [[171, "spkit-entropy-sample"]], "Examples using spkit.entropy_sample": [[171, "examples-using-spkit-entropy-sample"]], "spkit.entropy_spectral": [[172, "spkit-entropy-spectral"]], "spkit.entropy_svd": [[173, "spkit-entropy-svd"]], "spkit.f0_detection": [[174, "spkit-f0-detection"]], "spkit.ffrft": [[175, "spkit-ffrft"]], "spkit.fill_nans_1d": [[176, "spkit-fill-nans-1d"]], "Examples using spkit.fill_nans_1d": [[176, "examples-using-spkit-fill-nans-1d"]], "spkit.fill_nans_2d": [[177, "spkit-fill-nans-2d"]], "Examples using spkit.fill_nans_2d": [[177, "examples-using-spkit-fill-nans-2d"]], "spkit.filterDC": [[178, "spkit-filterdc"]], "spkit.filterDC_sGolay": [[179, "spkit-filterdc-sgolay"]], "Examples using spkit.filterDC_sGolay": [[179, "examples-using-spkit-filterdc-sgolay"]], "spkit.filter_powerline": [[181, "spkit-filter-powerline"]], "spkit.filter_smooth_gauss": [[182, "spkit-filter-smooth-gauss"]], "spkit.filter_smooth_mollifier": [[183, "spkit-filter-smooth-mollifier"]], "spkit.filter_smooth_sGolay": [[184, "spkit-filter-smooth-sgolay"]], "spkit.filter_with_kernel": [[185, "spkit-filter-with-kernel"]], "spkit.filtering_pipeline": [[186, "spkit-filtering-pipeline"]], "spkit.frft": [[187, "spkit-frft"]], "Examples using spkit.frft": [[187, "examples-using-spkit-frft"]], "spkit.friedrichs_mollifier_kernel": [[188, "spkit-friedrichs-mollifier-kernel"]], "spkit.gaussian_kernel": [[189, "spkit-gaussian-kernel"]], "spkit.geometry.get_circle": [[203, "spkit-geometry-get-circle"]], "spkit.geometry.get_circular_grid": [[204, "spkit-geometry-get-circular-grid"]], "spkit.geometry.get_ellipsoid": [[205, "spkit-geometry-get-ellipsoid"]], "spkit.geometry.get_sphare": [[209, 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"examples-using-spkit-mea-get-stim-loc"]], "spkit.mea.mat_1_show": [[247, "spkit-mea-mat-1-show"]], "Examples using spkit.mea.mat_1_show": [[247, "examples-using-spkit-mea-mat-1-show"]], "spkit.mea.mat_list_show": [[248, "spkit-mea-mat-list-show"]], "Examples using spkit.mea.mat_list_show": [[248, "examples-using-spkit-mea-mat-list-show"]], "spkit.mea.mea_feature_map": [[249, "spkit-mea-mea-feature-map"]], "Examples using spkit.mea.mea_feature_map": [[249, "examples-using-spkit-mea-mea-feature-map"]], "spkit.mea.plot_mea_grid": [[250, "spkit-mea-plot-mea-grid"]], "Examples using spkit.mea.plot_mea_grid": [[250, "examples-using-spkit-mea-plot-mea-grid"]], "spkit.mea.unarrange_mea_grid": [[251, "spkit-mea-unarrange-mea-grid"]], "spkit.mean_minSE": [[252, "spkit-mean-minse"]], "spkit.minMSE": [[253, "spkit-minmse"]], "spkit.ml.ClassificationTree": [[254, "spkit-ml-classificationtree"]], "Examples using spkit.ml.ClassificationTree": [[254, "examples-using-spkit-ml-classificationtree"]], "spkit.ml.DecisionTree": [[255, "spkit-ml-decisiontree"]], "spkit.ml.LogisticRegression": [[256, "spkit-ml-logisticregression"]], "Examples using spkit.ml.LogisticRegression": [[256, "examples-using-spkit-ml-logisticregression"]], "spkit.ml.NaiveBayes": [[257, "spkit-ml-naivebayes"]], "Examples using spkit.ml.NaiveBayes": [[257, "examples-using-spkit-ml-naivebayes"]], "spkit.ml.RegressionTree": [[258, "spkit-ml-regressiontree"]], "Examples using spkit.ml.RegressionTree": [[258, "examples-using-spkit-ml-regressiontree"]], "spkit.mutual_info": [[259, "spkit-mutual-info"]], "Examples using spkit.mutual_info": [[259, "examples-using-spkit-mutual-info"]], "spkit.mutual_info_diff": [[260, "spkit-mutual-info-diff"]], "spkit.mutual_info_diff_self": [[261, "spkit-mutual-info-diff-self"]], "spkit.partial_transfer_entropy": [[262, "spkit-partial-transfer-entropy"]], "spkit.peak_detection": [[263, "spkit-peak-detection"]], "spkit.peak_interp": [[264, "spkit-peak-interp"]], "spkit.periodogram": [[265, "spkit-periodogram"]], "spkit.phase_map": [[266, "spkit-phase-map"]], "spkit.phase_map_reconstruction": [[267, "spkit-phase-map-reconstruction"]], "spkit.plotJointEntropyXY": [[268, "spkit-plotjointentropyxy"]], "spkit.quantize_FD": [[269, "spkit-quantize-fd"]], "spkit.quantize_signal": [[270, "spkit-quantize-signal"]], "spkit.ramanujan_filter": [[271, "spkit-ramanujan-filter"]], "Examples using spkit.ramanujan_filter": [[271, "examples-using-spkit-ramanujan-filter"]], "spkit.ramanujan_filter_prange": [[272, "spkit-ramanujan-filter-prange"]], "Examples using spkit.ramanujan_filter_prange": [[272, "examples-using-spkit-ramanujan-filter-prange"]], "spkit.regularised_period_estimation": [[273, "spkit-regularised-period-estimation"]], "Examples using spkit.regularised_period_estimation": [[273, "examples-using-spkit-regularised-period-estimation"]], "spkit.show_compass": [[274, "spkit-show-compass"]], "spkit.show_farmulas": [[275, "spkit-show-farmulas"]], "spkit.signal_delayed_space": [[276, "spkit-signal-delayed-space"]], "spkit.signal_diff": [[277, "spkit-signal-diff"]], "spkit.simplify_signal": [[278, "spkit-simplify-signal"]], "spkit.sinc_dirichlet": [[279, "spkit-sinc-dirichlet"]], "spkit.sinc_interp": [[280, "spkit-sinc-interp"]], "spkit.sineModel_analysis": [[281, "spkit-sinemodel-analysis"]], "Examples using spkit.sineModel_analysis": [[281, "examples-using-spkit-sinemodel-analysis"]], "spkit.sineModel_synthesis": [[282, "spkit-sinemodel-synthesis"]], "Examples using spkit.sineModel_synthesis": [[282, "examples-using-spkit-sinemodel-synthesis"]], "spkit.sine_spectrum": [[283, "spkit-sine-spectrum"]], "spkit.sine_tracking": [[284, "spkit-sine-tracking"]], "spkit.sinetracks_cleaning": [[285, "spkit-sinetracks-cleaning"]], "spkit.spatial_filter_adj": [[286, "spkit-spatial-filter-adj"]], "spkit.spatial_filter_dist": [[287, "spkit-spatial-filter-dist"]], "spkit.stats.get_stats": [[288, "spkit-stats-get-stats"]], "spkit.stats.outliers": [[289, "spkit-stats-outliers"]], "spkit.stats.plot_groups_boxes": [[290, "spkit-stats-plot-groups-boxes"]], "Examples using spkit.stats.plot_groups_boxes": [[290, "examples-using-spkit-stats-plot-groups-boxes"]], "spkit.stats.quick_stats": [[291, "spkit-stats-quick-stats"]], "spkit.stats.test_2groups": [[292, "spkit-stats-test-2groups"]], "Examples using spkit.stats.test_2groups": [[292, "examples-using-spkit-stats-test-2groups"]], "spkit.stats.test_groups": [[293, "spkit-stats-test-groups"]], "spkit.stft_analysis": [[294, "spkit-stft-analysis"]], "Examples using spkit.stft_analysis": [[294, "examples-using-spkit-stft-analysis"]], "spkit.stft_synthesis": [[295, "spkit-stft-synthesis"]], "Examples using spkit.stft_synthesis": [[295, "examples-using-spkit-stft-synthesis"]], "spkit.total_variation": [[296, "spkit-total-variation"]], "spkit.total_variation_win": [[297, "spkit-total-variation-win"]], "spkit.transfer_entropy": [[298, "spkit-transfer-entropy"]], 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"experimental-under-development"], [355, "experimental-under-development"]], "spkit.core.infotheory": [[354, "spkit-core-infotheory"]], "spkit.geomatry": [[354, "spkit-geomatry"]], "ECG: Electrocardiography": [[65, "ecg-electrocardiography"]], "Filtering (cleaning)": [[65, "filtering-cleaning"]], "R Peak Detection": [[65, "r-peak-detection"]], "EGM: Electrogram": [[67, "egm-electrogram"]], "Activation Time": [[67, "activation-time"]], "Phase Analysis": [[67, "phase-analysis"]], "Multi-Channel EGMs": [[67, "multi-channel-egms"]], "Decision Trees": [[317, "decision-trees"]], "Classification Trees": [[317, "classification-trees"]], "Visualising Trees": [[317, "visualising-trees"]], "Shrinking/proning Trees": [[317, "shrinking-proning-trees"]], "Tree for catogories features": [[317, "tree-for-catogories-features"]], "Regression Trees": [[317, "regression-trees"]], "Logistic Regression": [[318, "logistic-regression"]], "Classification": [[318, "classification"]], "Gauss wavelet": [[321, 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Multi-Electrode Array Processing": [[68, "mea-multi-electrode-array-processing"], [34, "mea-multi-electrode-array-processing"], [35, "mea-multi-electrode-array-processing"]], "Complete Analysis of a recording": [[68, "complete-analysis-of-a-recording"]], "Step-wise Analysis": [[68, "step-wise-analysis"]], "1. Read HDF File": [[68, "read-hdf-file"]], "2. Stim Localisation": [[68, "stim-localisation"]], "3. Alignment of Stim Cycles": [[68, "alignment-of-stim-cycles"]], "4. Averaging Cycles or Selecting one": [[68, "averaging-cycles-or-selecting-one"]], "5. Activation Time": [[68, "activation-time"]], "6. Repolarisation Time (optional)": [[68, "repolarisation-time-optional"]], "7. APD (if RT is computed)": [[68, "apd-if-rt-is-computed"]], "8. Extracting EGM": [[68, "extracting-egm"]], "9. EGM Feature Extraction": [[68, "egm-feature-extraction"]], "10. Identifying BAD Channels/electrodes": [[68, "identifying-bad-channels-electrodes"]], "11. Creating Feature Matrix": [[68, "creating-feature-matrix"]], "12. Interpolation": [[68, "interpolation"]], "13. Conduction Velocity": [[68, "conduction-velocity"]], "Plots and Figures": [[68, "plots-and-figures"]], "Extracting EGM": [[68, "id1"]], "EGM Processing & Feature Extractions": [[68, "egm-processing-feature-extractions"]], "Conduction and Activation Map": [[68, "conduction-and-activation-map"]], "Dispersion and Differential Entropy": [[314, "dispersion-and-differential-entropy"]], "Dispersion Entropy H_{de}(X)": [[314, "dispersion-entropy-h-de-x"]], "Background": [[314, "background"]], "An Example": [[314, "an-example"]], "Embedding dimension 4": [[314, "embedding-dimension-4"]], "Dispersion Entropy with sliding window": [[314, "dispersion-entropy-with-sliding-window"]], "Multi-scale Dispersion Entropy": [[314, "multi-scale-dispersion-entropy"]], "Dispersion Entropy multiscale": [[314, "dispersion-entropy-multiscale"]], "Dispersion Entropy & Shannon Entropy": [[314, "dispersion-entropy-shannon-entropy"]], "Dispersion Entropy & Sample Entropy": [[314, 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null], [333, null]], "Wavelet Package Analysis": [[324, "wavelet-package-analysis"]], "Wavelet decomposed signals": [[324, "wavelet-decomposed-signals"]], "Temporal analysis": [[324, "temporal-analysis"]], "Smoothing": [[329, "smoothing"]], "Spectral Filters": [[329, "spectral-filters"]], "Gaussian Filter": [[329, "gaussian-filter"]], "Mollifier": [[329, "mollifier"]], "Wavelet Filtering": [[329, "wavelet-filtering"], [53, "wavelet-filtering"]], "References": [[329, null]], "Fractional Fourier Transform": [[332, "fractional-fourier-transform"]], "Short-Time Fourier Transform": [[338, "short-time-fourier-transform"]], "Signal Filtering": [[340, "signal-filtering"]], "Statistics/Utilities": [[342, "statistics-utilities"]], "Entropy": [[315, "entropy"]], "Entropy with discreet source": [[315, "entropy-with-discreet-source"]], "Change of base": [[315, "change-of-base"]], "R\u00e9nyi entropy of order \\alpha": [[315, "renyi-entropy-of-order-alpha"]], "Entropy for real-valued source": [[315, 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"Artifact removal using ICA": [[7, "artifact-removal-using-ica"], [6, "artifact-removal-using-ica"]], "Plots of Corrections": [[7, "plots-of-corrections"]], "Plots of Residuals": [[7, "plots-of-residuals"]], "spkit.eeg.rhythmic_powers": [[151, "spkit-eeg-rhythmic-powers"]], "Examples using spkit.eeg.rhythmic_powers": [[151, "examples-using-spkit-eeg-rhythmic-powers"]], "spkit.filter_X": [[180, "spkit-filter-x"]], "Examples using spkit.filter_X": [[180, "examples-using-spkit-filter-x"]], "spkit.io.read_bdf": [[229, "spkit-io-read-bdf"]], "Examples using spkit.io.read_bdf": [[229, "examples-using-spkit-io-read-bdf"]], "Electroencephalography (EEG)": [[0, "electroencephalography-eeg"], [11, "electroencephalography-eeg"]], "ATAR: Automatic and Tunable Artifact Removal Algorithm": [[2, "atar-automatic-and-tunable-artifact-removal-algorithm"]], "Applying ATAR Algorithm": [[2, "applying-atar-algorithm"]], "Soft Thresholding:": [[2, "soft-thresholding"]], "Linear Attenuation:": [[2, "linear-attenuation"]], "Elimination:": [[2, "elimination"]], "Tuning \\beta with \u2018soft\u2019 : Controlling the aggressiveness": [[2, "tuning-beta-with-soft-controlling-the-aggressiveness"]], "Tuning \\beta with \u2018elim\u2019": [[2, "tuning-beta-with-elim"]], "Other settings": [[2, "other-settings"]], "Changing wavelet function": [[2, "changing-wavelet-function"]], "Changing upper and lower bounds: k_1, k_2": [[2, "changing-upper-and-lower-bounds-k-1-k-2"]], "Changing IPR -  Interpercentile range": [[2, "changing-ipr-interpercentile-range"]], "Using the fix threshold \\theta_\\alpha": [[2, "using-the-fix-threshold-theta-alpha"]], "Changing window length (5 sec)": [[2, "changing-window-length-5-sec"]], "EEG Artifact removal using ICA": [[6, "eeg-artifact-removal-using-ica"]], "On smaller segment": [[6, "on-smaller-segment"]], "EEG Computing Rhythmic Features - PhyAAt - Semanticity": [[8, "eeg-computing-rhythmic-features-phyaat-semanticity"]], "PhyAAt Dataset": [[8, 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"step-4-average-cycles-or-select-one"]], "Step 5-6: Activation and Repolarisation Time": [[31, "step-5-6-activation-and-repolarisation-time"]], "Step 7: APD Computation": [[31, "step-7-apd-computation"]], "Step 8: Extract EGMs": [[31, "step-8-extract-egms"]], "Step 9: EGM Feature Extraction": [[31, "step-9-egm-feature-extraction"]], "Step 10: BAD Channels": [[31, "step-10-bad-channels"]], "Step 11: Feature Matrix": [[31, "step-11-feature-matrix"]], "Step 12: Interpolating Activation Map": [[31, "step-12-interpolating-activation-map"]], "Step 13: Computing Conduction Velocity and maps": [[31, "step-13-computing-conduction-velocity-and-maps"]], "Release Highlights for spkit 0.0.9.7": [[35, "release-highlights-for-spkit-0-0-9-7"]], "Topographic Map correction: 10-20 System": [[35, "topographic-map-correction-10-20-system"]], "Location of all the eletrodes": [[35, "location-of-all-the-eletrodes"]], "Topographic Map 10-10 System": [[35, "topographic-map-10-10-system"]], "Topographic Map 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"extract-eeg-and-apply-atar"]], "Putting back EEG to Original Raw MNE": [[1, "putting-back-eeg-to-original-raw-mne"]], "Plot for comparison": [[1, "plot-for-comparison"]], "EEG Data from EDF File": [[3, "eeg-data-from-edf-file"]], "Read EDF File": [[3, "read-edf-file"]], "Extract EEG Data and process": [[3, "extract-eeg-data-and-process"]], "Plot - cover": [[3, "plot-cover"]], "Plot": [[3, "plot"]], "spkit.utils.pretty_print": [[303, "spkit-utils-pretty-print"]], "Examples using spkit.utils.pretty_print": [[303, "examples-using-spkit-utils-pretty-print"]], "Biomedical Signal Processing": [[64, "biomedical-signal-processing"]], "EEG: Electroencephalography": [[66, "eeg-electroencephalography"]], "Preprocessing": [[66, "preprocessing"]], "Power computation": [[66, "power-computation"]], "Rhythmic Features": [[66, "rhythmic-features"]], "Topographic Map": [[66, "topographic-map"]], "Working with different files/frameworks": [[66, "working-with-different-files-frameworks"]], "Read from EDF Files": [[66, "read-from-edf-files"]], "Work with MNE Raw Object": [[66, "work-with-mne-raw-object"]], "Removing Artifacts": [[66, "removing-artifacts"]], "ATAR Algorithm": [[66, "atar-algorithm"]], "ICA Algorithm": [[66, "ica-algorithm"]], "Data2 Samples": [[71, "data2-samples"]], "spkit.create_dictionary": [[76, "spkit-create-dictionary"]], "spkit.wpa_plot": [[90, "spkit-wpa-plot"]], "spkit.eeg.gen_ssfi": [[145, "spkit-eeg-gen-ssfi"]], "spkit.eeg.topomap": [[148, "spkit-eeg-topomap"]], "Examples using spkit.eeg.topomap": [[148, "examples-using-spkit-eeg-topomap"]]}, "indexentries": {"module": [[69, "module-0"], [69, "module-1"], [69, "module-spkit"], [69, "module-spkit.data"], [69, "module-spkit.eeg"], [69, "module-spkit.io"], [69, "module-spkit.ml"]], "spkit": [[69, "module-0"], [69, "module-spkit"]], "spkit.data": [[69, "module-spkit.data"]], "spkit.eeg": [[69, "module-1"], [69, "module-spkit.eeg"]], "spkit.io": [[69, "module-spkit.io"]], "spkit.ml": [[69, "module-spkit.ml"]], "a_law() (in module spkit)": [[75, "spkit.A_law"]], "create_dictionary() (in module spkit)": [[76, "spkit.create_dictionary"]], "ica (class in spkit)": [[77, "spkit.ICA"]], "fit() (spkit.ica method)": [[77, "spkit.ICA.fit"]], "get_smatrix() (spkit.ica method)": [[77, "spkit.ICA.get_sMatrix"]], "get_tmatrix() (spkit.ica method)": [[77, "spkit.ICA.get_tMatrix"]], "transform() (spkit.ica method)": [[77, "spkit.ICA.transform"]], "whitening() (spkit.ica method)": [[77, "spkit.ICA.whitening"]], "mu_law() (in module spkit)": [[78, "spkit.Mu_law"]], "outliers() (in module spkit)": [[79, "spkit.OutLiers"]], "pca (class in spkit)": [[80, "spkit.PCA"]], "fit() (spkit.pca method)": [[80, "spkit.PCA.fit"]], "fit_transform() (spkit.pca method)": [[80, "spkit.PCA.fit_transform"]], "transform() (spkit.pca method)": [[80, "spkit.PCA.transform"]], "whitening() (spkit.pca method)": [[80, "spkit.PCA.whitening"]], "periodstrength() (in module spkit)": [[81, "spkit.PeriodStrength"]], "rfb() (in module spkit)": [[82, "spkit.RFB"]], "rfb_example_1() (in module spkit)": [[83, "spkit.RFB_example_1"]], "rfb_example_2() (in module spkit)": [[84, "spkit.RFB_example_2"]], "rfb_prange() (in module spkit)": [[85, "spkit.RFB_prange"]], "svd() (in module spkit)": [[86, "spkit.SVD"]], "td_embed() (in module spkit)": [[87, "spkit.TD_Embed"]], "twm_algo() (in module spkit)": [[88, "spkit.TWM_algo"]], "twm_f0() (in module spkit)": [[89, "spkit.TWM_f0"]], "wpa_plot() (in module spkit)": [[90, "spkit.wpa_plot"]], "wpa_temporal() (in module spkit)": [[91, "spkit.WPA_temporal"]], "wavelet_decompositions() (in module spkit)": [[92, "spkit.Wavelet_decompositions"]], "add_noise() (in module spkit)": [[93, "spkit.add_noise"]], "agg_angles() (in module spkit)": [[94, "spkit.agg_angles"]], "bin_width() (in module spkit)": [[95, "spkit.bin_width"]], "blackman_lobe() (in module spkit)": [[96, "spkit.blackman_lobe"]], "cdf_mapping() (in module spkit)": [[97, "spkit.cdf_mapping"]], "clean_phase() (in module spkit)": [[98, "spkit.clean_phase"]], "conv1d_fb() (in module spkit)": [[99, "spkit.conv1d_fb"]], "conv1d_fft() (in module spkit)": [[100, "spkit.conv1d_fft"]], "conv1d_nan() (in module spkit)": [[101, "spkit.conv1d_nan"]], "conv2d_nan() (in module spkit)": [[102, "spkit.conv2d_nan"]], "create_multidim_space_signal() (in module spkit)": [[103, "spkit.create_multidim_space_signal"]], "create_signal_1d() (in module spkit)": [[104, "spkit.create_signal_1d"]], "create_signal_2d() (in module spkit)": [[105, "spkit.create_signal_2d"]], "gaborwave() (in module spkit.cwt)": [[106, "spkit.cwt.GaborWave"]], "gausswave() (in module spkit.cwt)": [[107, "spkit.cwt.GaussWave"]], "morlatewave() (in module spkit.cwt)": [[108, "spkit.cwt.MorlateWave"]], "poissonwave() (in module spkit.cwt)": [[109, "spkit.cwt.PoissonWave"]], "scalogramcwt() (in module spkit.cwt)": [[110, "spkit.cwt.ScalogramCWT"]], "shannonwave() (in module spkit.cwt)": [[111, "spkit.cwt.ShannonWave"]], "wavepsd() (in module 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"linear() (in module spkit.data)": [[125, "spkit.data.linear"]], "linear_data() (in module spkit.data)": [[126, "spkit.data.linear_data"]], "mclass_gauss() (in module spkit.data)": [[127, "spkit.data.mclass_gauss"]], "moons() (in module spkit.data)": [[128, "spkit.data.moons"]], "optical_sample() (in module spkit.data)": [[129, "spkit.data.optical_sample"]], "ppg_sample() (in module spkit.data)": [[130, "spkit.data.ppg_sample"]], "primitive_polynomials() (in module spkit.data)": [[131, "spkit.data.primitive_polynomials"]], "sinusoidal() (in module spkit.data)": [[132, "spkit.data.sinusoidal"]], "spiral() (in module spkit.data)": [[133, "spkit.data.spiral"]], "denorm_kernel() (in module spkit)": [[134, "spkit.denorm_kernel"]], "dft_analysis() (in module spkit)": [[135, "spkit.dft_analysis"]], "dft_synthesis() (in module spkit)": [[136, "spkit.dft_synthesis"]], "direction_flow_map() (in module spkit)": [[137, "spkit.direction_flow_map"]], "dispersion_entropy() (in module spkit)": [[138, "spkit.dispersion_entropy"]], "dispersion_entropy_multiscale_refined() (in module spkit)": [[139, "spkit.dispersion_entropy_multiscale_refined"]], "dominent_freq() (in module spkit)": [[140, "spkit.dominent_freq"]], "dominent_freq_win() (in module spkit)": [[141, "spkit.dominent_freq_win"]], "atar() (in module spkit.eeg)": [[142, "spkit.eeg.ATAR"]], "atar_1ch() (in module spkit.eeg)": [[143, "spkit.eeg.ATAR_1Ch"]], "atar_mch() (in module spkit.eeg)": [[144, "spkit.eeg.ATAR_mCh"]], "gen_ssfi() (in module spkit.eeg)": [[145, "spkit.eeg.gen_ssfi"]], "ica_filtering() (in module spkit.eeg)": [[146, "spkit.eeg.ICA_filtering"]], "rhythmicdecomposition() (in module spkit.eeg)": [[147, "spkit.eeg.RhythmicDecomposition"]], "topomap() (in module spkit.eeg)": [[148, "spkit.eeg.topomap"]], "topomap_zi() (in module spkit.eeg)": [[149, "spkit.eeg.TopoMap_Zi"]], "display_topo_rgb() (in module spkit.eeg)": [[150, "spkit.eeg.display_topo_RGB"]], "rhythmic_powers() (in module spkit.eeg)": [[151, "spkit.eeg.rhythmic_powers"]], "rhythmic_powers_win() (in module spkit.eeg)": [[152, "spkit.eeg.rhythmic_powers_win"]], "s1005_get_epos2d() (in module spkit.eeg)": [[153, "spkit.eeg.s1005_get_epos2d"]], "s1010_get_epos2d() (in module spkit.eeg)": [[154, "spkit.eeg.s1010_get_epos2d"]], "s1020_get_epos2d() (in module spkit.eeg)": [[155, "spkit.eeg.s1020_get_epos2d"]], "showtopo() (in module spkit.eeg)": [[156, "spkit.eeg.showTOPO"]], "elbow_knee_point() (in module spkit)": [[157, "spkit.elbow_knee_point"]], "entropy() (in module spkit)": [[158, "spkit.entropy"]], "entropy_approx() (in module spkit)": [[159, "spkit.entropy_approx"]], "entropy_cond() (in module spkit)": [[160, "spkit.entropy_cond"]], "entropy_cross() (in module spkit)": [[161, "spkit.entropy_cross"]], "entropy_diff_cond() (in module spkit)": [[162, "spkit.entropy_diff_cond"]], "entropy_diff_cond_self() (in module spkit)": [[163, "spkit.entropy_diff_cond_self"]], "entropy_diff_joint() (in module spkit)": [[164, "spkit.entropy_diff_joint"]], "entropy_diff_joint_cond() (in module spkit)": [[165, "spkit.entropy_diff_joint_cond"]], "entropy_differential() (in module spkit)": [[166, "spkit.entropy_differential"]], "entropy_granger_causality() (in module spkit)": [[167, "spkit.entropy_granger_causality"]], "entropy_joint() (in module spkit)": [[168, "spkit.entropy_joint"]], "entropy_kld() (in module spkit)": [[169, "spkit.entropy_kld"]], "entropy_permutation() (in module spkit)": [[170, "spkit.entropy_permutation"]], "entropy_sample() (in module spkit)": [[171, "spkit.entropy_sample"]], "entropy_spectral() (in module spkit)": [[172, "spkit.entropy_spectral"]], "entropy_svd() (in module spkit)": [[173, "spkit.entropy_svd"]], "f0_detection() (in module spkit)": [[174, "spkit.f0_detection"]], "ffrft() (in module spkit)": [[175, "spkit.ffrft"]], "fill_nans_1d() (in module spkit)": [[176, "spkit.fill_nans_1d"]], "fill_nans_2d() (in module spkit)": [[177, "spkit.fill_nans_2d"]], "filterdc() (in module spkit)": [[178, "spkit.filterDC"]], "filterdc_sgolay() (in module spkit)": [[179, "spkit.filterDC_sGolay"]], "filter_x() (in module spkit)": [[180, "spkit.filter_X"]], "filter_powerline() (in module spkit)": [[181, "spkit.filter_powerline"]], "filter_smooth_gauss() (in module spkit)": [[182, "spkit.filter_smooth_gauss"]], "filter_smooth_mollifier() (in module spkit)": [[183, "spkit.filter_smooth_mollifier"]], "filter_smooth_sgolay() (in module spkit)": [[184, "spkit.filter_smooth_sGolay"]], "filter_with_kernel() (in module spkit)": [[185, "spkit.filter_with_kernel"]], "filtering_pipeline() (in module spkit)": [[186, "spkit.filtering_pipeline"]], "frft() (in module spkit)": [[187, "spkit.frft"]], "friedrichs_mollifier_kernel() (in module spkit)": [[188, "spkit.friedrichs_mollifier_kernel"]], "gaussian_kernel() (in module spkit)": [[189, "spkit.gaussian_kernel"]], "inter2dplane (class in spkit.geometry)": [[190, "spkit.geometry.Inter2DPlane"]], "triang (class in spkit.geometry)": [[191, "spkit.geometry.TriAng"]], "get_edges_deg() (spkit.geometry.triang method)": [[191, "spkit.geometry.TriAng.get_edges_deg"]], "area_tri() (in module spkit.geometry)": [[192, "spkit.geometry.area_tri"]], "car2spar() (in module spkit.geometry)": [[193, "spkit.geometry.car2spar"]], "dir_vectors() (in module spkit.geometry)": [[194, "spkit.geometry.dir_vectors"]], "divide_space() (in module spkit.geometry)": [[195, "spkit.geometry.divide_space"]], "gettrifaces() (in module spkit.geometry)": [[196, "spkit.geometry.getTriFaces"]], "gettrifaces_v2() (in module spkit.geometry)": [[197, "spkit.geometry.getTriFaces_V2"]], "get_pca() (in module spkit.geometry)": [[198, "spkit.geometry.get_PCA"]], "get_adjacency_matrix_depth() (in module spkit.geometry)": [[199, "spkit.geometry.get_adjacency_matrix_depth"]], "get_adjacency_matrix_dist() (in module spkit.geometry)": [[200, "spkit.geometry.get_adjacency_matrix_dist"]], "get_adjacency_matrix_knn() (in module spkit.geometry)": [[201, "spkit.geometry.get_adjacency_matrix_kNN"]], "get_center() (in module spkit.geometry)": [[202, "spkit.geometry.get_center"]], "get_circle() (in module spkit.geometry)": [[203, "spkit.geometry.get_circle"]], "get_circular_grid() (in module spkit.geometry)": [[204, "spkit.geometry.get_circular_grid"]], "get_ellipsoid() (in module spkit.geometry)": [[205, "spkit.geometry.get_ellipsoid"]], "get_neibours() (in module spkit.geometry)": [[206, "spkit.geometry.get_neibours"]], "get_optimal_projection() (in module spkit.geometry)": [[207, "spkit.geometry.get_optimal_projection"]], "get_plane() (in module spkit.geometry)": [[208, "spkit.geometry.get_plane"]], "get_sphare() (in module spkit.geometry)": [[209, "spkit.geometry.get_sphare"]], "get_square() (in module spkit.geometry)": [[210, "spkit.geometry.get_square"]], "get_square_grid() (in module spkit.geometry)": [[211, "spkit.geometry.get_square_grid"]], "lin_inter() (in module spkit.geometry)": [[212, "spkit.geometry.lin_inter"]], "node2c_to_adjacency_matrix() (in module spkit.geometry)": [[213, "spkit.geometry.node2C_to_adjacency_matrix"]], "opt_project() (in module spkit.geometry)": [[214, "spkit.geometry.opt_project"]], "plot_proj() (in module spkit.geometry)": [[215, "spkit.geometry.plot_proj"]], "rotation_matrix() (in module spkit.geometry)": [[216, "spkit.geometry.rotation_matrix"]], "spar2car() (in module spkit.geometry)": [[217, "spkit.geometry.spar2car"]], "surface_plot_mayavi() (in module spkit.geometry)": [[218, "spkit.geometry.surface_plot_mayavi"]], "surface_reconstruction() (in module spkit.geometry)": [[219, "spkit.geometry.surface_reconstruction"]], "getquickstats() (in module spkit)": [[220, "spkit.getQuickStats"]], "getstats() (in module spkit)": [[221, "spkit.getStats"]], "get_activation_time() (in module spkit)": [[222, "spkit.get_activation_time"]], "get_repolarisation_time() (in module spkit)": [[223, "spkit.get_repolarisation_time"]], "graph_filter_adj() (in module spkit)": [[224, "spkit.graph_filter_adj"]], "graph_filter_dist() (in module spkit)": [[225, "spkit.graph_filter_dist"]], "hist_plot() (in module spkit)": [[226, "spkit.hist_plot"]], "iffrft() (in module spkit)": [[227, "spkit.iffrft"]], "ifrft() (in module spkit)": [[228, "spkit.ifrft"]], "read_bdf() (in module spkit.io)": [[229, "spkit.io.read_bdf"]], "read_hdf() (in module spkit.io)": [[230, "spkit.io.read_hdf"]], "read_surf() (in module spkit.io)": [[231, "spkit.io.read_surf"]], "read_surf_file() (in module spkit.io)": [[232, "spkit.io.read_surf_file"]], "read_vtk() (in module spkit.io)": [[233, "spkit.io.read_vtk"]], "write_vtk() (in module spkit.io)": [[234, "spkit.io.write_vtk"]], "is_power2() (in module spkit)": [[235, "spkit.is_power2"]], "low_resolution() (in module spkit)": [[236, "spkit.low_resolution"]], "activation_repol_time_loc() (in module spkit.mea)": [[237, "spkit.mea.activation_repol_time_loc"]], "activation_time_loc() (in module spkit.mea)": [[238, "spkit.mea.activation_time_loc"]], "align_cycles() (in module spkit.mea)": [[239, "spkit.mea.align_cycles"]], "analyse_mea_file() (in module spkit.mea)": [[240, "spkit.mea.analyse_mea_file"]], "arrange_mea_grid() (in module spkit.mea)": [[241, "spkit.mea.arrange_mea_grid"]], "compute_cv() (in module spkit.mea)": [[242, "spkit.mea.compute_cv"]], "egm_features() (in module spkit.mea)": [[243, "spkit.mea.egm_features"]], "extract_egm() (in module spkit.mea)": [[244, "spkit.mea.extract_egm"]], "find_bad_channels_idx() (in module spkit.mea)": [[245, "spkit.mea.find_bad_channels_idx"]], "get_stim_loc() (in module spkit.mea)": [[246, "spkit.mea.get_stim_loc"]], "mat_1_show() (in module spkit.mea)": [[247, "spkit.mea.mat_1_show"]], "mat_list_show() (in module spkit.mea)": [[248, "spkit.mea.mat_list_show"]], "mea_feature_map() (in module spkit.mea)": [[249, "spkit.mea.mea_feature_map"]], "plot_mea_grid() (in module spkit.mea)": [[250, "spkit.mea.plot_mea_grid"]], "unarrange_mea_grid() (in module spkit.mea)": [[251, "spkit.mea.unarrange_mea_grid"]], "mean_minse() (in module spkit)": [[252, "spkit.mean_minSE"]], "minmse() (in module spkit)": [[253, "spkit.minMSE"]], "classificationtree (class in spkit.ml)": [[254, "spkit.ml.ClassificationTree"]], "dictdepth() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.DictDepth"]], "fit() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.fit"]], "getlcurve() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.getLcurve"]], "gettreedepth() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.getTreeDepth"]], "get_tree() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.get_tree"]], "plotlcurve() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.plotLcurve"]], "plottree() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.plotTree"]], "plottreepath() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.plotTreePath"]], "predict() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.predict"]], "predict_proba() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.predict_proba"]], "prunetree() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.pruneTree"]], "set_featurenames() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.set_featureNames"]], "set_xynode() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.set_xyNode"]], "showtree() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.showTree"]], "shrinktree() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.shrinkTree"]], "treedepth() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.treeDepth"]], "updatetree() (spkit.ml.classificationtree method)": [[254, "spkit.ml.ClassificationTree.updateTree"]], "decisiontree (class in spkit.ml)": [[255, "spkit.ml.DecisionTree"]], "dictdepth() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.DictDepth"]], "fit() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.fit"]], "getlcurve() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.getLcurve"]], "gettreedepth() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.getTreeDepth"]], "get_tree() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.get_tree"]], "plotlcurve() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.plotLcurve"]], "plottree() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.plotTree"]], "plottreepath() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.plotTreePath"]], "predict() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.predict"]], "predict_proba() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.predict_proba"]], "prunetree() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.pruneTree"]], "set_featurenames() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.set_featureNames"]], "set_xynode() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.set_xyNode"]], "showtree() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.showTree"]], "shrinktree() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.shrinkTree"]], "treedepth() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.treeDepth"]], "updatetree() (spkit.ml.decisiontree method)": [[255, "spkit.ml.DecisionTree.updateTree"]], "logisticregression (class in spkit.ml)": [[256, "spkit.ml.LogisticRegression"]], "loss() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.Loss"]], "normalize() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.Normalize"]], "polyfeature() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.PolyFeature"]], "fit() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.fit"]], "getweights() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.getWeights"]], "getweightsaslist() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.getWeightsAsList"]], "onehot() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.oneHot"]], "plot_lcurve() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.plot_Lcurve"]], "plot_boundries() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.plot_boundries"]], "plot_weights() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.plot_weights"]], "plot_weights2() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.plot_weights2"]], "predict() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.predict"]], "predict_proba() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.predict_proba"]], "regularization() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.regularization"]], "sigmoid() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.sigmoid"]], "softmax() (spkit.ml.logisticregression method)": [[256, "spkit.ml.LogisticRegression.softmax"]], "naivebayes (class in spkit.ml)": [[257, "spkit.ml.NaiveBayes"]], "vizpx() (spkit.ml.naivebayes method)": [[257, "spkit.ml.NaiveBayes.VizPx"]], "fit() (spkit.ml.naivebayes method)": [[257, "spkit.ml.NaiveBayes.fit"]], "predict() (spkit.ml.naivebayes method)": [[257, "spkit.ml.NaiveBayes.predict"]], "predict_prob() (spkit.ml.naivebayes method)": [[257, "spkit.ml.NaiveBayes.predict_prob"]], "set_class_labels() (spkit.ml.naivebayes method)": [[257, "spkit.ml.NaiveBayes.set_class_labels"]], "set_feature_names() (spkit.ml.naivebayes method)": [[257, "spkit.ml.NaiveBayes.set_feature_names"]], "dictdepth() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.DictDepth"]], "regressiontree (class in spkit.ml)": [[258, "spkit.ml.RegressionTree"]], "fit() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.fit"]], "getlcurve() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.getLcurve"]], "gettreedepth() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.getTreeDepth"]], "get_tree() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.get_tree"]], "plotlcurve() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.plotLcurve"]], "plottree() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.plotTree"]], "plottreepath() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.plotTreePath"]], "predict() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.predict"]], "predict_proba() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.predict_proba"]], "prunetree() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.pruneTree"]], "set_featurenames() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.set_featureNames"]], "set_xynode() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.set_xyNode"]], "showtree() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.showTree"]], "shrinktree() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.shrinkTree"]], "treedepth() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.treeDepth"]], "updatetree() (spkit.ml.regressiontree method)": [[258, "spkit.ml.RegressionTree.updateTree"]], "mutual_info() (in module spkit)": [[259, "spkit.mutual_info"]], "mutual_info_diff() (in module spkit)": [[260, "spkit.mutual_info_diff"]], "mutual_info_diff_self() (in module spkit)": [[261, "spkit.mutual_info_diff_self"]], "partial_transfer_entropy() (in module spkit)": [[262, "spkit.partial_transfer_entropy"]], "peak_detection() (in module spkit)": [[263, "spkit.peak_detection"]], "peak_interp() (in module spkit)": [[264, "spkit.peak_interp"]], "periodogram() (in module spkit)": [[265, "spkit.periodogram"]], "phase_map() (in module spkit)": [[266, "spkit.phase_map"]], "phase_map_reconstruction() (in module spkit)": [[267, "spkit.phase_map_reconstruction"]], "plotjointentropyxy() (in module spkit)": [[268, "spkit.plotJointEntropyXY"]], "quantize_fd() (in module spkit)": [[269, "spkit.quantize_FD"]], "quantize_signal() (in module spkit)": [[270, "spkit.quantize_signal"]], "ramanujan_filter() (in module spkit)": [[271, "spkit.ramanujan_filter"]], "ramanujan_filter_prange() (in module spkit)": [[272, "spkit.ramanujan_filter_prange"]], "regularised_period_estimation() (in module spkit)": [[273, "spkit.regularised_period_estimation"]], "show_compass() (in module spkit)": [[274, "spkit.show_compass"]], "show_farmulas() (in module spkit)": [[275, "spkit.show_farmulas"]], "signal_delayed_space() (in module spkit)": [[276, "spkit.signal_delayed_space"]], "signal_diff() (in module spkit)": [[277, "spkit.signal_diff"]], "simplify_signal() (in module spkit)": [[278, "spkit.simplify_signal"]], "sinc_dirichlet() (in module spkit)": [[279, "spkit.sinc_dirichlet"]], "sinc_interp() (in module spkit)": [[280, "spkit.sinc_interp"]], "sinemodel_analysis() (in module spkit)": [[281, "spkit.sineModel_analysis"]], "sinemodel_synthesis() (in module spkit)": [[282, "spkit.sineModel_synthesis"]], "sine_spectrum() (in module spkit)": [[283, "spkit.sine_spectrum"]], "sine_tracking() (in module spkit)": [[284, "spkit.sine_tracking"]], "sinetracks_cleaning() (in module spkit)": [[285, "spkit.sinetracks_cleaning"]], "spatial_filter_adj() (in module spkit)": [[286, "spkit.spatial_filter_adj"]], "spatial_filter_dist() (in module spkit)": [[287, "spkit.spatial_filter_dist"]], "get_stats() (in module spkit.stats)": [[288, "spkit.stats.get_stats"]], "outliers() (in module spkit.stats)": [[289, "spkit.stats.outliers"]], "plot_groups_boxes() (in module spkit.stats)": [[290, "spkit.stats.plot_groups_boxes"]], "quick_stats() (in module spkit.stats)": [[291, "spkit.stats.quick_stats"]], "test_2groups() (in module spkit.stats)": [[292, "spkit.stats.test_2groups"]], "test_groups() (in module spkit.stats)": [[293, "spkit.stats.test_groups"]], "stft_analysis() (in module spkit)": [[294, "spkit.stft_analysis"]], "stft_synthesis() (in module spkit)": [[295, "spkit.stft_synthesis"]], "total_variation() (in module spkit)": [[296, "spkit.total_variation"]], "total_variation_win() (in module spkit)": [[297, "spkit.total_variation_win"]], "transfer_entropy() (in module spkit)": [[298, "spkit.transfer_entropy"]], "transfer_entropy_cond() (in module spkit)": [[299, "spkit.transfer_entropy_cond"]], "progbar() (in module spkit.utils)": [[300, "spkit.utils.ProgBar"]], "progbar_jl() (in module spkit.utils)": [[301, "spkit.utils.ProgBar_JL"]], "bcolors (class in spkit.utils)": [[302, "spkit.utils.bcolors"]], "pretty_print() (in module spkit.utils)": [[303, "spkit.utils.pretty_print"]], "txcolors (class in spkit.utils)": [[304, "spkit.utils.txcolors"]], "view_hierarchical_order() (in module spkit.utils)": [[305, "spkit.utils.view_hierarchical_order"]], "wavelet_decomposed_signals() (in module spkit)": [[306, "spkit.wavelet_decomposed_signals"]], "wavelet_filtering() (in module spkit)": [[307, "spkit.wavelet_filtering"]], "wavelet_filtering_win() (in module spkit)": [[308, "spkit.wavelet_filtering_win"]], "wpa_coeff() (in module spkit)": [[309, "spkit.wpa_coeff"]], "wpa_coeff_win() (in module spkit)": [[310, "spkit.wpa_coeff_win"]]}})