Time-frequency domain blind source separation - The independence problem and proposed solution

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

Volumn 5, Issue , 2003, Pages 281-284

  Hu, Xuebin ^a   Kobatake, Hidefumi ^a  

^a TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; FREQUENCY DOMAIN ANALYSIS; PROBLEM SOLVING; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO;

TIME-FREQUENCY DOMAIN;

BLIND SOURCE SEPARATION;

EID: 0141855360     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. A. Bell, and T. Sejnowski, "An information maximization approach to blind separation and blind deconvolution," Neural Computation, 7: 1129-1159, 1995.
2. A. Hyvarinen and E. Oja, "A fast fixed-point algorithm for independent component analysis," Neural Computation, 9:1483-1492, 1997.
3. S. Amari, A. Cichocki, and H. H. Yang, "A new learning algorithm for blind signal separation," In D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, editors, "Advances in Neural Information Processing Systems, vol. 8, pp. 757-763, MIT press, 1996.
4. A. Belouchrani, K. Abed-Meraim, J. -F. Cardoso, and E. Moulines, "A blind source separation technique using second-order statistics," IEEE Trans. Signal Processing, vol. 45(2), pp. 434-443, February 1997.
5. J.-F. Cardoso and A. Souloumiac, "Blind beamforming for non-Gaussian signals", IEE Proceedings F, vol. 140, No. 6, pp. 362-370, 1993.
6. T. Nishikawa, S. Araki and S. Makino, "Optimization on the number of subbands in blind source separation with subband ICA," Proceedings of Acoustical Society Japan, Mar. 2001 (In Japanese).