Blind source separation by a geometrical method

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2002, Pages 1109-1114

  Shindo, Hiroyuki ^a   Hirai, Yuzo ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; HOUGH TRANSFORMS; INDEPENDENT COMPONENT ANALYSIS; MATRIX ALGEBRA; NEURAL NETWORKS;

GEOMETRICAL METHOD; NONSTATIONARY MIXING MATRIX;

BLIND SOURCE SEPARATION;

EID: 0036076759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Independent component analysis, a new concept?
2. An information maximization approach to blind separation and blind deconvolution
3. Infomax and maximum likelihood for blind source separation
4. A unifying information-theoretic framework for independent component analysis
5. Feature extraction approach to blind source separation
6. Blind source separation of more sources than mixtures using overcomplete representations
7. Learning overcomplete representations