论文信息 - A stochastic and competitive network for the separation of sources

A stochastic and competitive network for the separation of sources

This paper presents an adaptive procedure for the linear and non-linear separation of signals 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 signals, and using a multiple linearization in the mixture space.

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