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Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures

De Lathauwer, L. ; Castaing, J. ; Cardoso, J.-F.

IEEE transactions on signal processing, 2007-06, Vol.55 (6), p.2965-2973 [Periódico revisado por pares]

New York, NY: IEEE

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Título:
Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures
Autor: De Lathauwer, L. ; Castaing, J. ; Cardoso, J.-F.
Assuntos: Additive noise ; Applied sciences ; Blind source separation ; Blinds ; Cumulant ; Detection, estimation, filtering, equalization, prediction ; Exact sciences and technology ; Fourier transforms ; Higher order statistics ; higher order tensor ; Independent component analysis ; independent component analysis (ICA) ; Information, signal and communications theory ; parallel factor analysis ; Signal and communications theory ; Signal processing ; Signal, noise ; Simulation ; simultaneous diagonalization ; Source separation ; Sparse matrices ; Stochastic resonance ; Telecommunications and information theory ; Tensile stress ; underdetermined mixture ; Vectors
É parte de: IEEE transactions on signal processing, 2007-06, Vol.55 (6), p.2965-2973
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: In this paper we study two fourth-order cumulant-based techniques for the estimation of the mixing matrix in underdetermined independent component analysis. The first method is based on a simultaneous matrix diagonalization. The second is based on a simultaneous off-diagonalization. The number of sources that can be allowed is roughly quadratic in the number of observations. For both methods, explicit expressions for the maximum number of sources are given. Simulations illustrate the performance of the techniques
Editor: New York, NY: IEEE
Idioma: Inglês

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Fourth-Order Cumulant-Based Blind Identification of Underdetermined Mixtures

De Lathauwer, L. ; Castaing, J. ; Cardoso, J.-F.

New York, NY: IEEE

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