A New Learning Algorithm for Blind Signal Separation

NIPS 1995: Proceedings of the 8th International Conference on Neural Information Processing Systems

Volumn , Issue , 1995, Pages 757-763

  Amari, S ^a,b   Cichocki, A ^b   Yang, H H ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b RIKEN   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; E-LEARNING; EXPANSION;

AVERAGE MUTUAL INFORMATION; BLIND SEPARATION; BLIND SIGNAL SEPARATION; EDGEWORTH EXPANSION; GRAM-CHARLIER EXPANSIONS; MIXED SIGNAL; MIXING MATRIX; ONLINE LEARNING; SOURCE SIGNALS; STATISTICAL DEPENDENCIES;

LEARNING ALGORITHMS;

EID: 33749754615     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. S.-I. Amari. Differential-Geometrical Methods in Statistics, Lecture Notes in Statistics vol. 28. Springer, 1985.
2. S. Amari, A. Cichocki, and H. H. Yang. Recurrent neural networks for blind separation of sources. In Proceedings 1995 International Symposium on Nonlinear Theory and Applications, volume I, pages 37-42, December 1995.
3. A. J. Bell and T. J. Sejnowski. An information-maximisation approach to blind separation and blind deconvolution. Neural Computation, 7:1129-1159, 1995.
4. J.-F. Cardoso and Beate Laheld. Equivariant adaptive source separation. To appear in IEEE Trans. on Signal Processing, 1996.
5. A. Cichocki, R. Unbehauen, L. Moszczyński, and E. Rummert. A new on-line adaptive learning algorithm for blind separation of source signals. In ISANN94, pages 406-411, Taiwan, December 1994.
6. P. Comon. Independent component analysis, a new concept? Signal Processing, 36:287-314, 1994.
7. C. Jutten and J. Herault. Blind separation of sources, part i: An adaptive algorithm based on neuromimetic architecture. Signal Processing, 24:1-10, 1991.
8. A. Stuart and J. K. Ord. Kendall's Advanced Theory of Statistics. Edward Arnold, 1994.