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Separation of sources using simulated annealing and competitive learning

Puntonet, Carlos G. ; Mansour, A. ; Bauer, Ch. ; Lang, Elmar



Abstract

This paper presents a new adaptive procedure for the linear and non-linear separation of sig nals with non-uniform, symmetrical probability distributions, based on both simulated annealing and competitive learning methods by means of a neural network, considering the properties of the vectorial spaces of sources and mixtures, and using a multiple linearization in the mixture space. The ...

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