DocumentCode :
291148
Title :
Two novel architectures for the self adaptive separation of signals
Author :
Moreau, Eric ; Macchi, Odilc
Author_Institution :
Lab. des Signaux et Syst., CNRS-ESE, Gif sur Yvette, France
Volume :
2
fYear :
1993
fDate :
23-26 May 1993
Firstpage :
1154
Abstract :
It is known that self-adaptive separation of a linear mixture of non-Gaussian independent signals can be achieved with a feedback structure that is adapted by the Jutten-Herault algorithm. Two novel architectures are presented. The first one is direct (no feedback). The second one is a mixed architecture, where a feedback structure is cascaded after a direct structure. Equlibrium points and their stability conditions are investigated for two mixed signals. The direct architecture is more general than the feedback one in that it involves no implementation constraints. It converges faster when there is an even number of minus signs in the mixture matrix. The mixed architecture´s transient period is hardly dependent on the mixture matrix. Computer simulations corroborate the theory
Keywords :
adaptive equalisers; cascade systems; convergence; feedback; separation; stability criteria; Jutten-Herault algorithm; convergence; direct structure; equilibrium points; feedback structure; mixed architecture; mixture matrix; non-Gaussian independent signals; self adaptive separation of signals; stability conditions; transient period; Computational efficiency; Computer architecture; Ear; Neural networks; Neurofeedback; Random processes; Receiving antennas; Sampling methods; Stability; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 1993. ICC '93 Geneva. Technical Program, Conference Record, IEEE International Conference on
Conference_Location :
Geneva
Print_ISBN :
0-7803-0950-2
Type :
conf
DOI :
10.1109/ICC.1993.397458
Filename :
397458
Link To Document :
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