The repository contains the code about the system developed for the pervasive systems course (Politecnico di Milano). It includes the code running on Raspberry pi, the RESTful server and a simple web application.

Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.

Sound Angle Estimation by Fusion of Gaussian Mixture Model and Multiple Signal classification

Speech processing ROS-package. Performs speech recognition and estimates the direction of arrival based on a real-time voice activity detection mechanism.

This project was part of the "Special Antennas-Antenna Synthesis" course in the Department of Electrical & Computer Engineering at AUTH. It consists of antenna analysis & beam-forming and DoA algorithms.

Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.

SELD-TCN: Sound Event Detection & Localization via Temporal Convolutional Network | Python w/ Tensorflow

The project is related to BeamForming and Direction of Arrival (DoA) algorithms and its scope is the analysis and understanding of such techniques.

Direction-of-Arrival (DoA) Suite for GNU Radio (OOT) and generic phase-coherent SDRs

Acoustic source localisation implementation

This repository contains the Matlab source codes (to use in Robotarium platform) of various rendezvous controllers for consensus control in a multi-agent / multi-robot system.

Parametric analysis of MUSIC algorithm for Angle of Arrival estimation in Python

Antenna array signal processing library implemented in python

Project for finding beacon location using Angle of Arrival (AoA) signal. The Direction of Arrival estimation is based on the MUltiple SIgnal Classification (MUSIC) algorithm here.

GNU Radio package implementing MUSIC and root MUSIC angle of arrival algorithms with blocks necessary to provide phase synchronization of USRP devices

This project was part of the course Topics in Antennas – Antennas Synthesis (ECE Department, AUTH, 8th semester).

A machine learning algorithm that estimates the directions of arrival and relative levels of an arbitrary number of sound sources using recorded data from a 16-channel spherical microphone array.