TFBSS: A Blind Source Separation Algorithm Based on Short-Time Fourier Transform Time-Frequency Analysis

TFBSS is a blind source separation algorithm leveraging short-time Fourier transform time-frequency analysis, designed for convolutive mixture models and specialized in processing non-stationary source signals through iterative signal decomposition.

Blind Source Separation Algorithm Based on Short-Time Fourier Time-Frequency Analysis

A blind source separation algorithm utilizing short-time Fourier time-frequency analysis, designed for convolutional mixture models to process non-stationary source signals. The implementation involves time-frequency domain transformation, feature extraction using spectral characteristics, and separation via statistical independence criteria.