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
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;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2002.807871