Blind Separation of Instantaneous Mixtures of Dependent Sources

Abstract : This paper deals with the problem of Blind Source Separation. Contrary to the vast majority of works, we do not assume the statistical independence between sources and explicitly consider that they are dependent. We introduce three particular types of dependent sources and show that their cumulants have interesting properties. Based on these properties, we investigate the behavior of classical Blind Source Separation algorithms when applied to these sources: depending on the source vector, the separation may be successful or some additionnal indeterminacies can be identified.
Type de document :
Communication dans un congrès
Mike E. Davies, Christopher J. James, Samer A. Abdallah, Mark D. Plumbley Eds. 7th International Conference on Independent Component Analysis and Signal Separation, Sep 2007, London, United Kingdom. Springer verlag, 4666, pp.9-16, 2007, Lecture Notes in Computer Science
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-00327652
Contributeur : Pierre Comon <>
Soumis le : jeudi 9 octobre 2008 - 10:43:58
Dernière modification le : jeudi 7 février 2019 - 16:44:49
Document(s) archivé(s) le : vendredi 4 juin 2010 - 12:23:46

Fichiers

ica07v3.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00327652, version 1

Citation

Marc Castella, Pierre Comon. Blind Separation of Instantaneous Mixtures of Dependent Sources. Mike E. Davies, Christopher J. James, Samer A. Abdallah, Mark D. Plumbley Eds. 7th International Conference on Independent Component Analysis and Signal Separation, Sep 2007, London, United Kingdom. Springer verlag, 4666, pp.9-16, 2007, Lecture Notes in Computer Science. 〈hal-00327652〉

Partager

Métriques

Consultations de la notice

496

Téléchargements de fichiers

204