A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION
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Updated
Jun 18, 2022 - MATLAB
A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION
IVA: Independent Vector Analysis implementation
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation
Create optimized ICA training (OPTICAT) data for EEG data recorded during free viewing (Dimigen, 2020, NeuroImage)
Preprocessing toolbox for rat rs-fMRI data
Source localization and connectivity analysis of high-density EEG data
MATLAB pipeline for easy-to-program automated pre-processing of electroencephalogram (EEG) data using independent component analysis and statistically-robust detection of artifacts.
Extract the independant sources with Composite Approximate Joint Diagonalization (CAJD) for linear/bilinear data models
Face Recognition using Independent Component Analysis (ICA)
Using EEGLAB to process EEG signal from a subject in a resting-wakeful state with their eyes opened and closed.
Mixtures of two Audio signals were separated using FastICA algorithm
Mutual information least-dependent component analysis
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