BSS Resources

Showing items tagged with "BSS"

Blind Source Separation (BSS) has emerged as a critical signal processing technology, with Independent Component Analysis (ICA) serving as its primary technique. ICA enables the separation of mixed non-Gaussian source signals into their original components without prior information about the mixing process. This MATLAB implementation demonstrates ICA-based Multiuser Detection (MUD) in a CDMA system, showcasing separation of 30 unique user signals at the Base Transceiver Station (BTS).

MATLAB 327 views Tagged
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Blind Source Separation (BSS) is a technique for recovering independent source signals from mixed observations without prior knowledge of the mixing process or source characteristics. This method proves particularly effective for extracting individual speech signals from multi-microphone recordings. This article provides detailed explanations of LMS and RLS algorithms with code implementation insights, conducts comparative performance analysis through simulations, and demonstrates practical speech signal separation using these approaches.

MATLAB 361 views Tagged
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