DocumentCode
1150164
Title
On the separability of nonlinear mixtures of temporally correlated sources
Author
Hosseini, Shahram ; Jutten, Christian
Author_Institution
LIS, Inst. Nat. Polytech. de Grenoble, France
Volume
10
Issue
2
fYear
2003
Firstpage
43
Lastpage
46
Abstract
It is well known that the source separation in a nonlinear case is, in general, impossible: there exist many mappings with nondiagonal Jacobian matrices preserving the independence. We suggest that using the time structure of the sources (if it exists), this indeterminacy may be reduced. In particular, we show that the classical examples used in the literature for demonstrating the nontrivial nonseparability of the nonlinear mixtures can be rejected by taking into account the temporal correlation of the sources.
Keywords
Jacobian matrices; array signal processing; correlation methods; source separation; nondiagonal Jacobian matrices; nonlinear mixtures separability; nonlinear source separation; nontrivial nonseparability; sensor array; temporally correlated sources; time structure; Blind source separation; Independent component analysis; Instruments; Jacobian matrices; Nonlinear distortion; Probability density function; Random variables; Signal mapping; Source separation; Testing;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2002.807871
Filename
1179834
Link To Document