Spectrum sensing in cognitive radios leveraging machine learning models
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Jan 5, 2024 - MATLAB
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spectrum-sensing
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Using signal processing based features to train and validate machine-learning algorithms to improve spectrum sensing and related problems in cognitive radios.
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Feb 10, 2023 - Jupyter Notebook
In this repository, we deal with developing an energy detector and a detector based on cyclostationarity for an OFDM based cognitive radio system and implementing and evaluating the performance of these detectors.
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Jul 2, 2020 - Python
Spectrum Sensing for Cognitive Radio
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Jun 5, 2021 - Python
Exploring Rayleigh fading channels for NOMA users, our project uses Monte Carlo simulations to analyze signal detection across various SNRs.
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Jan 12, 2024 - Jupyter Notebook
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Oct 6, 2024 - MATLAB
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