Application of the MEC network to principal component analysis and source separation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1327, Issue , 1997, Pages 571-576

  Fiori, Simone ^a   Uncini, Aurelio ^a   Piazza, Francesco ^a  

^a UNIVERSITÀ POLITECNICA DELLE MARCHE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EQUATIONS OF MOTION; NEURAL NETWORKS; SIGNAL ANALYSIS; SOURCE SEPARATION;

ABSTRACT SPACE; ADAPTATION RULES; LEARNING RULES; MASSIVE SYSTEMS; NEURAL LEARNING; ORTHONORMAL; RANDOM SIGNAL;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84956696924     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0020215     Document Type: Conference Paper

References (6)

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4. Laheld B., Cardoso J.F.: Adaptive Source Separation with Uniform Performances. Signal Processing VII: Theories and Applications 1 (1994) 183-186
5. Karhunen J., Joutsensalo J.: Learning of Robust Principal Component Subspace. Proc. of Int. Joint Conf. on N.N. - IJCNN 3 (1993) 2409-2412
6. Xu L., Oja E., Suen C.Y.: Modified Hebbian Learning for Curve and Surface Fitting. Neural Networks 5 (1992) 393-407