Blind Source Separation in Convolutive Mixtures: A Hybrid Approach for Colored Sources

  • Authors:
  • Frédéric Abrard;Yannick Deville

  • Affiliations:
  • -;-

  • Venue:
  • IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
  • Year:
  • 2001

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Abstract

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.