Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton's Method

Authors:
Rubén Martín-Clemente;José I. Acha;Carlos García Puntonet
Affiliations:
-;-;-
Venue:
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Year:
2001

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Cited 0

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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.