A general algebraic algorithm for blind extraction of one source in a MIMO convolutive mixture

  • Authors:
  • Rémi Dubroca;Christophe De Luigi;Marc Castella;Eric Moreau

  • Affiliations:
  • University of Sud Toulon Var, LSEET UMR-CNRS, La Valette du Var Cedex, France;University of Sud Toulon Var, LSEET UMR-CNRS, La Valette du Var Cedex, France;Télécom and Management SudParis, Départment CITI, Evry Cedex, France;University of Sud Toulon Var, LSEET UMR-CNRS, La Valette du Var Cedex, France

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 2010

Quantified Score

Hi-index 35.68

Visualization

Abstract

The paper deals with the problem of blind source extraction from a multiple-input/multiple-output (MIMO) convolutive mixture. We define a new criterion for source extraction which uses higher-order contrast functions based on so called reference signals. It generalizes existing reference-based contrasts. In order to optimize the new criterion, we propose a general algebraic algorithm based on best rank-1 tensor approximation. Computer simulations illustrate the good behavior and the interest of our algorithm in comparison with other approaches.