Blind identification problems with constraints

A. Cichocki, P. Georgiev

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In many applications of independent component analysis (ICA) and blind source separation (BSS) the mixing or separating matrices have some special structure or some constraints are imposed for the matrices like symmetry, orthogonality, nonnegativity, sparseness and unit (or specified invariant norm) of the matrix. We present several algorithms and overview some known transformations which allows us to preserve such constraints. Especially, we propose algorithms for a blind identification problem with non-negativity constraints.

Original languageEnglish
Title of host publicationNeural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002
EditorsSamy Bengio, Scott Douglas, Tulay Adali, Jan Larsen, Herve Bourlard
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages535-544
Number of pages10
ISBN (Electronic)0780376161
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 - Martigny, Switzerland
Duration: 6 Sep 2002 → …

Publication series

NameNeural Networks for Signal Processing - Proceedings of the IEEE Workshop
Volume2002-January

Conference

Conference12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002
Country/TerritorySwitzerland
CityMartigny
Period6/09/02 → …

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