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Blind separation of instantaneous mixtures of nonstationary sources

Dinh-Tuan Pham ; Cardoso, J.-F.

IEEE transactions on signal processing, 2001-09, Vol.49 (9), p.1837-1848 [Periódico revisado por pares]

New York, NY: IEEE

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Título:
Blind separation of instantaneous mixtures of nonstationary sources
Autor: Dinh-Tuan Pham ; Cardoso, J.-F.
Assuntos: Algorithms ; Applied sciences ; Blind source separation ; Blinds ; Computational modeling ; Covariance matrix ; Detection, estimation, filtering, equalization, prediction ; Envelopes ; Exact sciences and technology ; Image reconstruction ; Independent component analysis ; Information, signal and communications theory ; Laboratories ; Mathematical models ; Mutual information ; Non-Gaussian ; On-line systems ; Particle measurements ; Separation ; Signal and communications theory ; Signal processing ; Signal, noise ; Source separation ; Studies ; Telecommunications and information theory ; Vectors
É parte de: IEEE transactions on signal processing, 2001-09, Vol.49 (9), p.1837-1848
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: Most source separation algorithms are based on a model of stationary sources. However, it is a simple matter to take advantage of possible nonstationarities of the sources to achieve separation. This paper develops novel approaches in this direction based on the principles of maximum likelihood and minimum mutual information. These principles are exploited by efficient algorithms in both the off-line case (via a new joint diagonalization procedure) and in the on-line case (via a Newton-like procedure). Some experiments showing the good performance of our algorithms and evidencing an interesting feature of our methods are presented: their ability to achieve a kind of super-efficiency. The paper concludes with a discussion contrasting separating methods for non-Gaussian and nonstationary models and emphasizing that, as a matter of fact, "what makes the algorithms work" is-strictly speaking-not the nonstationarity itself but rather the property that each realization of the source signals has a time-varying envelope.
Editor: New York, NY: IEEE
Idioma: Inglês

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Blind separation of instantaneous mixtures of nonstationary sources

Dinh-Tuan Pham ; Cardoso, J.-F.

New York, NY: IEEE

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