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Abstract: We present a neural-network approach which allows sequential extraction of source signals from a linear mixture of multiple sources in the order ...
ABSTRACT. We present a neural-network approach which allows se- quential extraction of source signals from a linear mixture of multiple sources in the order ...
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Abstract—This paper introduces a novel technique for sequen- tial blind extraction of singularly mixed sources. First, a neural-.
A new neural-network adaptive algorithm is proposed for performing extraction of independent source signals from a linear mixture of them.
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Blind Signal Separation - an overview | ScienceDirect Topics
www.sciencedirect.com › computer-science
Blind Signal Separation is the process of jointly estimating the mixing matrix and the source signal vector for a given observation vector, without prior ...
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ensures extraction of source signals in decreasing order of their normalized kur- tosis. These two features make the algorithm promising to be used in practise.
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A sequential strategy that depends on the strength of coupling and optimises the passive elements first, and then the active elements, reduces computational ...
Blind separation of sources: A nonlinear neural algorithm
www.sciencedirect.com › article › abs › pii
A new algorithm, based on ideas of back propagation learning, is proposed for source separation. No a priori information on the sources themselves is required.
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