BSSLAB: SCILAB-based Toolbox for Blind Source Separation
Wang Fei · Jisuanji fangzhen · 2006
Blind Source Separation (BSS) has recently received extensive attentions because of its potential exciting applications in science and technology, especially in wireless communications, speech enhancement systems and medical signal processing, and also its great value in theoretical research. The fundamentals and algorithm framework of BSS were briefly reviewed first, and BSSLAB (Blind Source Separation Laboratory) package, a toolbox for simulating BSS algorithms based on SCILAB, was developed. The structure and function of the package were discussed. The simulation package is easy to use and provides a good environment for the research on BSS problem.