Extraction of independent components from hybrid mixture: KuicNet learning algorithm and applications

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 1998, Pages 1209-1212

  Kung, S Y ^a   Mejuto, C ^b  

^a PRINCETON UNIVERSITY   (United States)

^b UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION EXAMPLES; CLOSED-FORM ANALYSIS; COMPUTATIONAL SAVINGS; CONTRAST FUNCTIONS; CONVERGENCE PROPERTIES; INDEPENDENT COMPONENTS; NETWORK ALGORITHMS; NUMERICAL CONVERGENCE;

EXTRACTION; HIGHER ORDER STATISTICS; SIGNAL PROCESSING;

MIXTURES;

EID: 84892171190     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1998.675488     Document Type: Conference Paper

References (5)

1. Jean-Francois Cardoso, "Source separation using higher order moments" Proceeding, ICASSP89, Glasgow, U.K. 1989.
2. P. Comon, "Independent Component Analysis, A new concept" Signal Processing, Vol. 36, pp. 287-314, 1994.
3. A. J. Bell and T. J. Sejnowski, "An information-maximization approach to blind separation and blind convolution, Neural Computation", Vol. 7, MIT Press,1995.
4. N. Delfosse and P. Loubaton, "Adaptive blind separation of independent sources: a deflation approach" Signal Processing, Vol. 45, pp. 59-83, 1994.
5. S.Y. Kung, "Independent Component Analysis in Hybrid Mixture: KuicNet Learning Algorithm and Numerical Analysis", Proceedings, Inter. Sympo. on Multimedia Information Processing, pp. 368-381, Taipei, Dec. 1997. (Full version submitted to IEEE Trans, on Signal Processing.