DocumentCode
312659
Title
Algorithms for blind signal separation and recovery in static and dynamic environments
Author
Gharbi, Ammar B. ; Salam, Fathi M.
Author_Institution
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Volume
1
fYear
1997
fDate
9-12 Jun 1997
Firstpage
713
Abstract
We propose update laws for the problem of blind separation in static and dynamic environments. The energy function is based on an approximation of the mutual information as a measure of independence. Both feedforward and feedback structures of the neural network are considered. A general framework to develop the update law for the dynamic model is proposed. Computer simulations to support the analytical work are provided
Keywords
feedforward neural nets; recurrent neural nets; signal processing; algorithm; blind signal recovery; blind signal separation; computer simulation; dynamic environment; energy function; feedback neural network; feedforward neural network; mutual information; static environment; update law; Blind source separation; Circuits; Energy measurement; Filtering; IIR filters; Intelligent networks; Linear systems; Mutual information; State feedback; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN
0-7803-3583-X
Type
conf
DOI
10.1109/ISCAS.1997.608970
Filename
608970
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