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Blind separation of sources: A nonlinear neural algorithm

✍ Scribed by Gilles Burel

Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
700 KB
Volume
5
Category
Article
ISSN
0893-6080

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✦ Synopsis

In many s(enal processing applications, the s(~nals provided b)' the sensors are mi.vlttres t?/'man), sources. The problem qlseparation t!/'sm#z'es is to ~:vtract the original s~enals fi'om these mixtures...1 new algorithm, based on ideas o/back propagation learning, is proposed.lbr source separation. No a priori i~formation on the sources themselves is required, attd the algorithm can deal even with nonlinear mi.Β₯1ltres. ,4['ler a short overview Β’f previous works in that field, we will describe the proposed algorithm, then some evperimental results will be discussed.

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