A uniform oversampled filter bank approach to independent component analysis

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

Volumn 5, Issue , 2003, Pages 249-252

  Park, Hyung Min ^a   Oh, Sang Hoon ^b   Lee, Soo Young ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Mokwon University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; FREQUENCY DOMAIN ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; PARALLEL PROCESSING SYSTEMS; REVERBERATION; TIME DOMAIN ANALYSIS;

FILTER BANK;

SIGNAL PROCESSING;

EID: 0141855375     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. T.-W. Lee, Independent Component Analysis, Kluwer Academic Publishers, Boston, MA, 1998.
2. A. J. Bell and T. J. Sejnowski, "An information-maximisation approach to blind separation and blind deconvolution," Neural Computation, vol. 7, pp. 1129-1159, 1995.
3. K. Torkkola, "Blind separation of convolved sources based on information maximization," in IEEE Int. Workshop on Neural Networks for Signal Processing, 1996.
4. P. Smaragdis, "Information theoretic approaches to source separation," M.S. thesis, MIT Media Arts and Sciences Department, MIT, Boston, June 1997.
5. S. Weiß, On Adaptive Filtering on Oversampled Subbands, Ph.D. thesis, Signal Processing Division, University of Strathclyde, Glasgow, May 1998.
6. S. Araki, S. Makino, R. Mukai, T. Nishikawa, and H. Saruwatari, "Fundamental limitation of frequency domain blind source separation for convolved mixtures of speech," in Int. Conf. ICA and BSS, San Diego, CA, 2001, pp. 132-137.
7. A. Gilloire and M. Vetterli, "Adaptive filtering in subbands with critical sampling: analysis, experiments, and application to acoustic echo cancellation," IEEE Trans. Signal Processing, vol. 40, no. 8, pp. 1862-1875, August 1992.
8. S. Amari, A. Cichocki, and H. H. Yang, "A new learning algorithm for blind source separation," in Advances in Neural Information Processing Systems 3, Cambridge, MA, 1996, pp. 757-763, MIT Press.
9. N. Murata, S. Ikeda, and A. Ziehe, "An approach to blind source separation based on temporal structure of speech signals," Neurocomputing, vol. 41, pp. 1-24, October 2001.
10. H.-M. Park, S.-H. Oh, and S.-Y. Lee, "On adaptive noise cancelling based on independent component analysis," in Int. Conf. ICA and BSS, San Diego, CA, 2001, pp. 394-399.