This is an implementation for paper Linearly constraint Bayesian Matrix Factorization for Blind Source Separation
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Updated
Dec 20, 2021 - Python
This is an implementation for paper Linearly constraint Bayesian Matrix Factorization for Blind Source Separation
Convex Analysis of Mixture Non-negative Sources implementation in Python
Mutual information least-dependent component analysis
An exercise on the use of NMF for Blind Signal Separation
Python implementation of Stone's blind source separation algorithm. Refer to his paper (cited in README) for details.
Mutual information least-dependent component analysis
Topographical Representation in an Associative Learning Task Using BSS Analysis on MEG Signals
Tutorial on Independent Component Analysis
wGMCA open-source code
Audio Unmixing and Music Score Transcription. Developed as my undergraduate final year project.
SDecGMCA open-source code
An unsupervised clustering techniques to understand if any similarities exist between customers and use those similarities to segment customers into distinct categories
For collaboration in ECSE 444
2DecGMCA open-source code (2D adaptation of SDecGMCA)
Blind Separation of Sparse Signals Diffused on Graphs
Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)
Computational tool to filter subcellular transmembrane potential signals from noisy single cell fluorescence videos
Matlab GUIs to demo the original REPET and REPET-SIM.
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