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Acoular - Acoustic testing and source mapping software

Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

This repository provides the MATLAB code for a certain type of microphone spotformer. A microphone spotformer is similar to a beamformer but considers regions-of-interest instead of directions.

Simulation code for V. Kumar, M. Chafii, A. L. Swindlehurst, L. -N. Tran and M. F. Flanagan, "SCA-Based Beamforming Optimization for IRS-Enabled Secure Integrated Sensing and Communication," GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, 2023, pp. 5992-5997, doi: 10.1109/GLOBECOM54140.2023.10437283.

Repository for the models and code used in "UE Tracking Beamforming using a MIMO Software-Defined Radio" MSc project.

This is the code implementation for the GMML algorithm.

Fast and efficient beamforming in Python - educational notebooks

Partial implementaition of the paper "Sohrabi, Foad, & Yu, Wei (2016). Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays" in python.

Physical Layer Privacy against Adversarial Wireless Sensing 👻 Inject arbitrary IEEE 802.11 VHT Compressed Beamforming Report values on Broadcom BCM43-based 802.11ac FullMAC chips. 💃

An infrasound array processing toolkit

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Source code for the results and simulations described in the paper "Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming".

Audio processing and source separation using spherical harmonics and spherical array

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology

TMYTEK general API examples

Collection of EM algorithms for blind source separation of audio signals

Optimization of Transmit Beamforming based on Unsupervised Learning With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces

🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency

Beamforming VST3 plugin for eSticks