DocumentCode
1319863
Title
A generalized ICA algorithm
Author
Stoll, Benoit ; Moreau, Eric
Author_Institution
ISITV, MS-GESSY, La Valette du Var, France
Volume
7
Issue
4
fYear
2000
fDate
4/1/2000 12:00:00 AM
Firstpage
90
Lastpage
92
Abstract
In this paper, we consider the source separation problem through a block algorithm based on the maximization of contrast functions. We propose a new contrast with parameterized cross-cumulants. It allows us to put three classical contrasts in a common framework. Following the same spirit of the independent component analysis (ICA) algorithm, we derive the analytical solution for the case of two sources. Finally, a computer simulation is performed to illustrate the behavior of a Jacobi-like algorithm for the maximization of the new contrast.
Keywords
higher order statistics; signal processing; Jacobi-like algorithm; block algorithm; computer simulation; contrast functions maximization; cumulants; generalized ICA algorithm; independent component analysis; source separation problem; Algorithm design and analysis; Computer simulation; Independent component analysis; Jacobian matrices; Matrix decomposition; Reactive power; Source separation; Statistical analysis; Statistics; Vectors;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.833006
Filename
833006
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