Implementation of JADE Algorithm: A Comparative Study of Widely Used Blind Source Separation Techniques

Source code implementation of the Joint Approximate Diagonalization of Eigenmatrices (JADE) algorithm, a commonly used blind source separation method with detailed code annotations and mathematical foundation explanations.

MATLAB Implementation of Blind Source Separation Algorithm

Blind Source Separation Algorithm for audio signal processing, utilizing ICA-based methods to isolate speech signals for speech recognition applications with code implementation examples

Kurtosis-Switching Based Blind Source Separation for Linear Mixed Signals

This algorithm addresses blind source separation of linearly mixed signals when source probability density functions and activation functions are challenging to determine - particularly when signals contain both super-Gaussian and sub-Gaussian components. By utilizing kurtosis as a statistical measure of signal PDFs, the method adaptively configures activation functions through a switching mechanism, implementing an effective kurtosis-based blind separation approach with robust mixed-signal handling capabilities.