Quadratic MIMO contrast functions for blind source separation in a convolutive context

  • Authors:
  • Saloua Rhioui;Marc Castella;Eric Moreau

  • Affiliations:
  • STD, ISITV, La Valette du Var, France;Département CITI, UMR-CNRS 5157, GET/INT, Évry, France;STD, ISITV, La Valette du Var, France

  • Venue:
  • ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
  • Year:
  • 2006

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Abstract

This paper considers the problem of blind separation of sources mixed by a MIMO convolutive system. For both i.i.d. and non i.i.d. sources, quadratic separation criteria previously designed for the extraction of a single source are extended to parallel extraction in the MIMO case. These criteria are based on the use of so-called reference signals and a condition is given under which we obtain MIMO contrast functions. Simulations demonstrate that a particular choice of a set of reference signals ensures the contrast property. The performance offered by these criteria is investigated through simulations: it is shown that the proposed contrast functions avoid accumulation errors, contrary to deflation methods.