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Source separation by quadratic contrast functions: A blind approach based on any higher-order statistics

  • Marc Castella
  • , Saloua Rhioui
  • , Eric Moreau
  • , Jean Christophe Pesquet
  • Université Gustave Eiffel
  • STD

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Résumé

This paper deals with blind source separation by contrast function maximization. A general class of separation criteria valid for both i.i.d. and non i.i.d. sources is exhibited: it is based on third or higher order cross-cumulants between the separator outputs and fixed signals, called references. We show that this approach is applicable not only in a semi-blind context, but also in a completely blind scenario. The most interesting feature concerning our criteria is their quadratic form. It follows a highly simplified optimization procedure which is described in the paper. Simulation results illustrate the validity of our approach, and the appeal of this new class of contrast functions.

langue originaleAnglais
titre2005 IEEE International Conference on Acoustics, Speech, and Signal Processing,ICASSP '05 - Proceedings - Audio and ElectroacousticsSignal Processing for Communication
EditeurInstitute of Electrical and Electronics Engineers Inc.
PagesIII569-III572
ISBN (imprimé)0780388747, 9780780388741
Les DOIs
étatPublié - 1 janv. 2005
Modification externeOui
Evénement2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, États-Unis
Durée: 18 mars 200523 mars 2005

Série de publications

NomICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeIII
ISSN (imprimé)1520-6149

Une conférence

Une conférence2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Pays/TerritoireÉtats-Unis
La villePhiladelphia, PA
période18/03/0523/03/05

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