DocumentCode
298394
Title
Separation of mixed signals in dynamic environments: formulation and some implementation
Author
Gharbi, Ammar B A ; Salam, Fathi M A
Author_Institution
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Volume
1
fYear
1994
fDate
3-5 Aug 1994
Firstpage
587
Abstract
We describe algorithms and some chip implementations for separating unknown, but independent, mixtures of temporal signals in static and dynamic environments. One algorithm is a modified HJ algorithm; the other is derived based on optimal control theory so as to maximize a functional which characterizes the linear independence of temporal signals. Moreover, we present some chip results and computer simulations and quantify the performance in static and dynamic environments
Keywords
filtering theory; neural nets; signal detection; Herault-Jutten cells; computer simulations; dynamic environments; linear independence; mixed signal separation; modified HJ algorithm; optimal control theory; static environments; temporal signals; Artificial neural networks; Counting circuits; Filtering; Intelligent networks; Laboratories; Microphones; Neural networks; Optimal control; Testing; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location
Lafayette, LA
Print_ISBN
0-7803-2428-5
Type
conf
DOI
10.1109/MWSCAS.1994.519306
Filename
519306
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