Blind source separation algorithms with matrix constraints

Andrzej Cichocki, Pando Georgiev

Research output: Contribution to journalArticlepeer-review

70 Citations (Scopus)

Abstract

In many applications of Independent Component Analysis (ICA) and Blind Source Separation (BSS) estimated sources signals and the mixing or separating matrices have some special structure or some constraints are imposed for the matrices such as symmetries, orthogonality, non-negativity, sparseness and specified invariant norm of the separating matrix. In this paper we present several algorithms and overview some known transformations which allows us to preserve several important constraints.

Original languageEnglish
Pages (from-to)522-531
Number of pages10
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE86-A
Issue number3
Publication statusPublished - Mar 2003
Externally publishedYes

Keywords

  • Blind sources separation
  • Independent component analysis with matrix constraints
  • Non-negative blind source separation

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