Information-theoretic approach to blind separation of sources in non-linear mixture

Signal Processing

Volumn 64, Issue 3, 1998, Pages 291-300

  Yang, Howard Hua ^a   Amari, Shun Ichi ^b   Cichocki, Andrzej ^b  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Blind separation; Information back propagation; Maximum entropy; Minimum mutual information; Non linear mixture

Indexed keywords

BACKPROPAGATION; INFORMATION THEORY; LEARNING ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS;

BLIND SEPARATION;

SIGNAL FILTERING AND PREDICTION;

EID: 0032002601     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(97)00196-5     Document Type: Article

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