Signal Subspace Separation Based on the Divergence Measure of a Set of Wavelets Coefficients

Authors:
Vincent Vigneron;Aurélien Hazan
Affiliations:
IBISC CNRS FRE 3190, Université d'Evry, France;CES CNRS-UMR 8174 Equipe SAMOS-MATISSE, Paris, France
Venue:
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Year:
2009

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Abstract

The various scales of a signal maintain relations of dependence the ones with the others. Those can vary in time and reveal speed changes in the studied phenomenon. In the goal to establish these changes, one shall compute first the wavelet transform of a signal, on various scales. Then one shall study the statistical dependences between these transforms thanks to an estimator of mutual information (MI) called divergence . The time-scale representation of the sources representation shall be compared with the representation of the mixtures according to delay in time and in frequency.