Eusipco - 96, Trieste - Italy

SUBSPACE METHOD FOR BLIND SEPARATION OF SOURCES IN CONVOLUTIVE MIXTURE.


ALI MANSOUR 1,3 CHRISTIAN JUTTEN *1.3 AND PHILIPPE LOUBATON 2.3

1 INPG-TIRF, 46 avenue Felix Vialet, 38031 Grenoble Cedex (France)
2 Univ. de Marne la Vallée, 2 rue de la Butte Verge, 93166 Noisy-le-Grand Cedex (France)
3 GdR Traitement du Signal et des Images, CNRS


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).