Blind extraction of intermittent sources

Authors:
Bertrand Rivet;Leonardo T. Duarte;Christian Jutten
Affiliations:
GIPSA-Lab , CNRS UMR, University of Grenoble, Saint Martin d'Hères cedex, France;DSPCom-Lab, DMO-FEEC, University of Campinas, Campinas, Brazil;GIPSA-Lab , CNRS UMR, University of Grenoble, Saint Martin d'Hères cedex, France
Venue:
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Year:
2010

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Abstract

In this work, we tackle the problem of blind extraction of intermittent sources. Our approach is based on the generalized eigenvector decomposition of covariance matrices and extends previous works in two aspects: by developing a more precise technique to detect inactive periods and by building a more general yet more precise strategy to estimate the vectors that lead to the separation of the intermittent sources. Simulations are carried out to illustrate the effectiveness of our proposal.