Neural network based blind source separation of non-linear mixtures

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

Volumn 2130, Issue , 2001, Pages 561-567

  Koutras, Athanasios ^a   Dermatas, Evangelos ^a   Kokkinakis, George ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; FUNCTIONS; MIXTURES; NEURAL NETWORKS;

COMPLEX FORMS; FASTER CONVERGENCE; HIDDEN NEURONS; MEMORYLESS; MIXED SIGNAL; NONLINEAR FUNCTIONS; NOVEL NEURAL NETWORK; SEPARATION PERFORMANCE;

BLIND SOURCE SEPARATION;

EID: 84958960591     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44668-0_79     Document Type: Conference Paper

References (9)

1. Haykin, S., Unsupervised Adaptive Filtering, Vol. I Blind Source Separation, J. Wiley & Sons (2000)
2. Lee, T. W., Independent Component Analysis, Kluwer Academic Publishers (1998)
3. Karhunen, J., Nonlinear Independent Component Analysis, in Roberts & Everson (eds.), Independent Component Analysis: Principles and Practice, Cambridge University Press (2001)
4. Burel, G.: Blind separation of sources: A nonlinear neural algorithm. Neural Networks, vol 5. (1992) 937-947
5. Pajunen, P., Hyvarinen, A., Karhunen, J.: Nonlinear blind source separation by selforganizing maps. ICONIP Vol 2 (1996) 1207-1210
6. Deco, G., Brauer, W.: Nonlinear higher-order statistical decorrelation by volume-conserving architectures. Neural Networks, Vol 8 (1995) 525-535
7. Lee, T.W., Koehler, B, Orglmeister, R.: Blind source separation of nonlinear mixing models. Neural Network for signal processing. (1997) 406-415
8. Taleb, A., Jutten, C.: Nonlinear source separation: the post-nonlinear mixtures. ESANN (1997) 279-284
9. Yang, H., Amari, S., Cichocki, A.: Information theoretic approach to blind separation of sources in non-linear mixture. Signal Processing, 64 (1998) 291-300