A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
Official development repository of the Large Time Frequency Analysis Toolbox
Instructions for building an almost consumer hardware based of a hearing aid
Codes related to answers on StackExchange Network.
Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018
This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.
A Matlab benchmarking toolbox for kernel adaptive filtering
🔥🔥 🛰️ Official repository of paper on improved two-parameter CFAR algorithm based on Rayleigh distribution and Mathematical Morphology for SAR ship detection. 🔥🔥
This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.
Matlab scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
DVD files for "A Software-Defined GPS and Galileo Receiver: A Single-Frequency Approach"
Compares FBMC to OFDM based schemes. Reproduces all figures from “Filter bank multicarrier modulation schemes for future mobile communications”, IEEE Journal on Selected Areas in Communications, 2017.
PPG-beats is a Matlab library of algorithms to detect heartbeats in photoplethysmogram (PPG) signals.
A MATLAB toolbox for prototyping and simulating diagnostic ultrasound imaging systems
Kernel Methods Toolbox for Matlab/Octave
This is a data-set for Human Activities & Gestures Recognition (HAGR) using the Channel State information (CSI) of IEEE 802.11n devices
Regularized K-SVD Algorithm
This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.
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