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).
Type de document :
Communication dans un congrès
Signal Processing VIII, Theories and Applications, Sep 1996, Triest, Italy
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https://hal.archives-ouvertes.fr/hal-00802604
Contributeur : Ali Mansour <>
Soumis le : mercredi 20 mars 2013 - 10:45:13
Dernière modification le : samedi 19 mars 2016 - 01:04:29

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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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