DocumentCode
1834394
Title
Improved contrast dedicated to blind separation in communications
Author
Comon, Pierre ; Moreau, Eric
Author_Institution
Thomson Marconi Sonar, Sophia-Antipolis, France
Volume
5
fYear
1997
fDate
21-24 Apr 1997
Firstpage
3453
Abstract
Contrast-based separation of sources have a number of advantages. Among others, they are optimal (in a precise sense) in the presence of noise of unknown statistics. Here a new contrast is proposed that allows not only to obtain the optimal solution analytically, but also yields better performances in terms of variance of the estimated mixing matrix. This contrast needs the source kurtosis to have the same sign, and is thus appropriate to multichannel blind equalization in communications
Keywords
Gaussian noise; adaptive equalisers; adaptive signal processing; array signal processing; higher order statistics; matrix algebra; blind separation; communications; contrast-based source separation; cumulants; mixing matrix variance; multichannel blind equalization; noise; optimal solution; source kurtosis; Analysis of variance; Blind equalizers; Gaussian noise; Narrowband; Performance analysis; Random processes; Reactive power; Sonar; Statistics; Yield estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location
Munich
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.604607
Filename
604607
Link To Document