DocumentCode :
701139
Title :
Subspace method for blind separation of sources in convolutive mixture
Author :
Mansour, Ali ; Jutten, Christian ; Loubaton, Philippe
Author_Institution :
INPG-TIRF, 46 avenue Félix Viallet, 38031 Grenoble Cedex (France)
fYear :
1996
fDate :
10-13 Sept. 1996
Firstpage :
1
Lastpage :
4
Abstract :
For the convolutive mixture, a subspace method to separate the sources is proposed. It is showed that after using only the second order statistic but more sensors than sources, the convolutive mixture can be itentified up to instantaneou mixture. Furthermore, the sources can be separated by any algorithm for instantaneous mixture (based in generally on the fourth order statistics).
Keywords :
Blind equalizers; Context; Deconvolution; Finite impulse response filters; Least squares approximations; Signal processing algorithms; Source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location :
Trieste, Italy
Print_ISBN :
978-888-6179-83-6
Type :
conf
Filename :
7082864
Link To Document :
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