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Communication Dans Un Congrès Année : 2007

Blind Separation of Instantaneous Mixtures of Dependent Sources

Résumé

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.
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Dates et versions

hal-00327652 , version 1 (09-10-2008)

Identifiants

  • HAL Id : hal-00327652 , version 1

Citer

Marc Castella, Pierre Comon. Blind Separation of Instantaneous Mixtures of Dependent Sources. 7th International Conference on Independent Component Analysis and Signal Separation, Sep 2007, London, United Kingdom. pp.9-16. ⟨hal-00327652⟩
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