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
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