Information backpropagation for blind separation of sources in nonlinear mixture

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 4, Issue , 1997, Pages 2141-2146

  Yang, Howard H ^a   Amari, Shun Ichi ^a   Cichocki, Andrzej ^a  

^a INST OF PHYS AND CHEMICAL RESEARCH   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SEPARATION OF SOURCES; COMMON STRUCTURES; LINEAR MIXTURE MODELING; MINIMUM MUTUAL INFORMATIONS; MUTUAL INFORMATIONS; NATURAL GRADIENT; NONLINEAR MIXTURES; REALISTIC MODEL;

BLIND SOURCE SEPARATION; ENTROPY; INDEPENDENT COMPONENT ANALYSIS; MIXING; MIXTURES; NEURAL NETWORKS; BACKPROPAGATION; FEATURE EXTRACTION; LEARNING ALGORITHMS;

BACKPROPAGATION; SPEECH RECOGNITION;

BLIND SOURCE SEPARATION; NATURAL GRADIENT DESCENT METHOD;

EID: 0030658715     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.614237     Document Type: Conference Paper

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