Methods for the blind signal separation problem

Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

Volumn 2, Issue , 2003, Pages 1386-1389

  Li, Yan ^a   Wen, Peng ^a   Powers, David ^b  

^a University of Southern   (Australia)

^b FLINDERS UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SIGNAL SEPARATION; HIGHER ORDER STATISTICS; LEARNING ABILITIES; LEARNING RULES; NONLINEAR MAPPINGS;

BLIND SOURCE SEPARATION; INFORMATION THEORY; SIGNAL PROCESSING;

NEURAL NETWORKS;

EID: 67449090645     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNNSP.2003.1281131     Document Type: Conference Paper

References (14)

1. P. Comon, "Independent component analysis - a new concept?", Signal Processing, vol. 36, pp. 287-314, 1994.
2. J. Herault and C. Jutten, "Space or time adaptive signal processing by neural network models", In J. S. Denker (ed), editor, Neural Networks For Computing: AIP Conference Proceedings 151, American Institute for Physics, New York, 1986.
3. D. Van Compernolle and S. Van Gerven, "On use of decorrelation in scalar signal separation", In IEEE, ICASSP, Vol. 3, pp.57-60, 1994.
4. Y. Li, D. Powers and K. Pope, "Blind signal separation using recurrent neural networks", International Journal of Knowledge-based Intelligent Engineering Systems, Vol. 7, No. 2, pp. 62-69, 2003.
5. B. Widrow, J. R. Glover, J. M., McCool, et al, "Adaptive noise canceling: Principles and applications", IEEE Proc., Vol. 63, No. 12, pp. 1692-1716, 1975.
6. G. Buret, "Blind separation of sources - a nonlinear neural algorithm", Neural Networks, Vol. 5, No. 6, pp. 937-947, 1992.
7. J. F. Cardoso, "Iterative techniques for blind separation using only fourth-order cumulants, signal processing IV-theories and applications", Proceedings of EUSIPCO-92, Sixth European Signal Processing Conference, Vol. 2, pp. 739-742, 1992.
8. J. F. Cardoso and A. Souloumiac, "Blind beamforming for non-Gaussian signals", IEE Proceeding Part F, Vol, 140, No. 6, pp. 362-370, 1993.
9. A. Hyvarinen, "A family of fixed-point algorithms for independent component analysis", In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'97), pp. 3917-1920, Munich, Germany, 1997.
10. A. J. Bell and T. J. Sejnowski, "An information-maximisation approach to blind separation and blind deconvolution", Neural Computation, Vol. 7, No. 6, 1004-1034, 1995.
11. T. W. Lee, Independent component analysis-theory and application, Dordrecht, The Netherlands: Kluwer, 1998.
12. S. A. Amari, A. Cichocki, and H. H. Yang, "A new learning algorithm for blind signal separation", Advances in Neural Information Processing Systems, Vol. 8, pp. 752-763, MIT Press, Cambridge, MA, 1996.
13. P. Smaragdis, Information theoretic Approaches to source separation, Master's Thesis, MIT, Cambridge, MA, 1997.
14. J. Lin, D. Grier, and J. Cowan, "Faithful representation of separable distributions", Neural Computation, Vol. 9, pp. 1305-1320, 1997.