Subspace method for blind separation of sources and for a convolutive mixture model

Ali Mansour 1 Christian Jutten 2 Philippe Loubaton 3
1 Lab-STICC_ENSTAB_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : For the convolutive mixture, a subspace method to separate the sources is proposed. It is showed that after using only the second order statistic but more sensors than sources, the convolutive mixture can be identified up to instantaneous mixture. Furthmore, the sources can be separated by any algorithm for instantaneous mixture (based in generally on the fourth order statistics).
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https://hal.archives-ouvertes.fr/hal-00802604
Contributor : Ali Mansour <>
Submitted on : Wednesday, March 20, 2013 - 10:45:13 AM
Last modification on : Monday, July 8, 2019 - 3:08:20 PM

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  • HAL Id : hal-00802604, version 1

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Ali Mansour, Christian Jutten, Philippe Loubaton. Subspace method for blind separation of sources and for a convolutive mixture model. Signal Processing VIII, Theories and Applications, Sep 1996, Triest, Italy. ⟨hal-00802604⟩

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