A linear feedforward neural network with lateral feedback connections for blind source separation

22 November 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 349-353
https://doi.org/10.1109/host.1997.613545

Abstract

We presents a new necessary and sufficient condition for the blind separation of sources having non-zero kurtosis, from their linear mixtures. It is shown here that a new blind separation criterion based on both odd (f(y)=y/sup 3/) and even (f(y)=y/sup 2/) functions, presents desirable solutions, provided that all source signals have negative kurtosis (sub-Gaussian) or have positive kurtosis (super-Gaussian). Based on this new separation criterion, a linear feedforward network with lateral feedback connections is constructed. Both theoretical and computer simulation results are presented.

Keywords

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