This paper deals with the blind source separation problem in convolutive mixtures when the sources are colored processes. In this case, classical methods first extract the innovation processes of the sources and then color them, which yields two successive filter approximations. On the contrary, we propose here a new concept allowing to directly extract estimates of the colored sources in one step. © Springer-Verlag Berlin Heidelberg 2001.
CITATION STYLE
Abrard, F., & Deville, Y. (2001). Blind source separation in convolutive mixtures: A hybrid approach for colored sources. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2085 LNCS, pp. 802–809). Springer Verlag. https://doi.org/10.1007/3-540-45723-2_97
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