Sparse Deflations in Blind Signal Separation

Sparse Deflations in Blind Signal Separation

We present a new deflation procedure for blind signal separation based on sparsity. It allows, under mild sparsity assumptions, to separate mixtures which could not be separated by ICA methods. We present a new algorithm for sparse deflations and apply it for sparse blind signal separation of mixtur...

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Hauptverfasser: Georgiev, Pando, Nuzillard, Danielle, Ralescu, Anca
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Sprache:eng
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Applied sciences
Blind Source Separation
Exact sciences and technology
High Performance Liquid Chromatography
Independent Component Analysis
Information, signal and communications theory
Signal processing
Sparse Representation
Telecommunications and information theory
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Nuzillard, Danielle
Ralescu, Anca
description We present a new deflation procedure for blind signal separation based on sparsity. It allows, under mild sparsity assumptions, to separate mixtures which could not be separated by ICA methods. We present a new algorithm for sparse deflations and apply it for sparse blind signal separation of mixtures of signals with bounded support. Relations to signals from High Performance Liquid Chromatography in chemistry are discussed and computer simulation examples are presented.
doi_str_mv 10.1007/11679363_100
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source Springer Books
subjects Applied sciences
Blind Source Separation
Exact sciences and technology
High Performance Liquid Chromatography
Independent Component Analysis
Information, signal and communications theory
Signal processing
Sparse Representation
Telecommunications and information theory
title Sparse Deflations in Blind Signal Separation
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