An information theoretic approach to blind source separation

DOI10.1080/09720529.2001.10697928zbMath0995.94015OpenAlexW2060345877MaRDI QIDQ2782314

C. S. Rai, Yogesh Singh

Publication date: 21 October 2002

Published in: Journal of Discrete Mathematical Sciences and Cryptography (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09720529.2001.10697928

zbMATH Keywords

blind source separationsignalsKullback-Leibler divergenceneural algorithmssub-Gaussian sourcessuper-Gaussian sources

Mathematics Subject Classification ID

Analysis of algorithms (68W40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Information theory (general) (94A15)

Cites Work

• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• Independent component analysis, a new concept?
• Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer

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