Applications of independent component analysis

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

Volumn 3316, Issue , 2004, Pages 1044-1051

  Oja, Erkki ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION;

COMPUTATIONAL TECHNIQUE; FASTICA ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS(ICA); MIXING COEFFICIENT; NONLINEAR MIXTURES; PROBABILITY DENSITIES; STATISTICAL APPROACH; STATISTICAL MODELING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 35048863037     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30499-9_162     Document Type: Article

References (20)

1. S. Amari, A. Cichocki, S. Makino, and N. Murata, editors. Proc. of the 4th Int. Workshop on Independent Component Analysis and Signal Separation, Nara, Japan, April 1-4, 2003. Brain Science Institute, Riken, Tokyo, 2003.
2. S.I. Amari, A. Cichocki, and H.H. Yang. A new learning algorithm for blind source separation. In Advances in Neural Information Processing Systems 8, pages 757-763. MIT Press, 1996.
3. H. Attias. Independent factor analysis. Neural Computation, 11(4):803-851, 1999.
4. A.J. Bell and T.J. Sejnowski. An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7:1129-1159, 1995.
5. J.-F. Cardoso. Source separation using higher order moments. In Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'89), pages 2109-2112, Glasgow, UK, 1989.
6. J. F. Cardoso, C. Jutten, and P. Loubaton, editors. Proc. of the 1st Int. Workshop on Independent Component Analysis and Signal Separation, Aussois, France, January 11-15, 1999. INPG, Grenoble, 1999.
7. J.-F. Cardoso and B. Hvam Laheld. Equivariant adaptive source separation. IEEE Trans. on Signal Processing, 44(12):3017-3030, 1996.
8. A. Cichocki and S. Amari. Adaptive Blind Signal and Image Processing. Wiley, New York, 2002.
9. A. Cichocki and R. Unbehauen. Robust neural networks with on-line learning for blind identification and blind separation of sources. IEEE Irans. on Circuits and Systems, 43(11):894-906, 1996.
10. P. Comon. Independent component analysis - a new concept? Signal Processing, 36:287-314, 1994.
11. The FastICA MATLAB package. Available at http://www.cis.hut.fi/projects/ica/fastica/.
12. M. Girolami, editor. Advances in Independent Component Analysis. Springer, London, 2000.
13. A. Hyvärinen. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. on Neural Networks, 10(3):626-634, 1999.
14. A. Hyvärinen, J. Karhunen, and E. Oja. Independent Component Analysis. Wiley, New York, 2001.
15. A. Hyvärinen and E. Oja. A fast fixed-point algorithm for independent component analysis. Neural Computation, 9(7):1483-1492, 1997.
16. A. Hyvärinen and E. Oja. Independent component analysis by general nonlinear Hebbian-like learning rules. Signal Processing, 64(3):301-313, 1998.
17. C. Jutten and J. Herault. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture. Signal Processing, 24:1-10, 1991.
18. T.-W. Lee. Independent Component Analysis - Theory and Applications. Kluwer, 1998.
19. T.-W. Lee, T.-P. Jung, S. Makeig, and T. Sejnowski, editors. Proc. of the 3rd Int. Workshop on Independent Component Analysis and Signal Separation, San Diego, CA, December 9-13, 2001. Salk Institute, CA, 2001.
20. P. Pajunen and J. Karhunen, editors. Proc. of the 2nd Int. Workshop on Independent Component Analysis and Blind Signal Separation, Helsinki, Finland, June 19-22, 2000. Otamedia, Espoo, 2000.