Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton’s Method
Identifieur interne : 000302 ( Main/Exploration ); précédent : 000301; suivant : 000303Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton’s Method
Auteurs : Rubén Martín-Clemente [Espagne] ; José I. Acha [Espagne] ; Carlos G. Puntonet [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2001.
Abstract
Abstract: This paper addresses the Blind Separation of non-Gaussian Sources for instantaneous mixtures. It is proven that the estimation of the separating system can be based on the cancellation of some second partial derivatives of the output cross-cumulants. These equations can be seen as a subset of those solved by JADE. Finally, we present an algorithm which is based on Newton’s method and exhibits a fast rate of convergence.
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DOI: 10.1007/3-540-44668-0_73
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<front><div type="abstract" xml:lang="en">Abstract: This paper addresses the Blind Separation of non-Gaussian Sources for instantaneous mixtures. It is proven that the estimation of the separating system can be based on the cancellation of some second partial derivatives of the output cross-cumulants. These equations can be seen as a subset of those solved by JADE. Finally, we present an algorithm which is based on Newton’s method and exhibits a fast rate of convergence.</div>
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