Noise robust adaptive blind channel identification using spectral constraints

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

Volumn 5, Issue , 2006, Pages

  Gaubitch, Nikolay D ^a   Hasan, Md Kamrul ^b   Naylor, Patrick A ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b BANGLADESH UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Bangladesh)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLIND EQUALIZATION; COMPUTER SIMULATION; CONSTRAINT THEORY; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE;

BLIND CHANNEL IDENTIFICATION; MEASUREMENT NOISE; NORMALIZED PROJECTION MISALIGNMENT;

CHANNEL ESTIMATION;

EID: 33947648075     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Z. Xu and M. K. Tsantsanis, "Blind channel estimation for long code multiuser CDMA systems," IEEE Trans. Signal Processing, vol. 48, no. 4, pp. 988-1001, Apr. 2000.
2. K. F. Kaaresen and T. Taxt, "Image method for efficiently simulating small-room acoustics," Geophysics, vol. 63, no. 6, pp. 2093-2107, Nov. 1998.
3. S. Subramaniam, A. P. Petropulu, and C. Wendt, "Cepstrum-based deconvolution for speech dereverberation," IEEE Trans. Acoust., Speech, Signal Processing, vol. 4, no. 5, pp. 392-396, Sept. 1996.
4. S. Gannot and M. Moonen, "Subspace methods for multi-microphone speech dereverberation," EURASIP Journal on Applied Signal Processing, vol. 2003, no. 11, pp. 1074-1090, Oct. 2003.
5. L. Tong and S. Perreau, "Multichannel blind identification: from subspace to maximum likelihood methods," Proc. IEEE, vol. 86, no. 10, pp. 1951-1968, Oct. 1998.
6. Y. Huang and J. Benesty, "Adaptive multi-channel least mean square and newton algorithms for blind channel identification," Signal Process., vol. 82, no. 8, pp. 1127-1138, Aug. 2002.
7. Y. Huang and J. Benesty, "A class of frequency-domain adaptive approaches to blind multichannel identification," IEEE Trans. Signal Processing, vol. 51, no. 1, pp. 11-24, Jan. 2003.
8. Md. K. Hasan, J. Benesty, P. A. Naylor, and D. B. Ward, "Improving robustness of blind adaptive multichannel identification algorithms using constraints," in Proc. European Signal Processing Conf. (EUSIPCO), Antalya, Turkey, Sept. 2005.
9. G. Xu, H. Liu, L. Tong, and T. Kailath, "A least-squares approach to blind channel identification," IEEE Trans. Signal Processing, vol. 43, no. 12, pp. 2982-2993, Dec. 1995.
10. Y. Huang, J. Benesty, and J. Chen, "Optimal step size of the adaptive multichannel lms algorithm for blind simo identification," IEEE Signal Processing Lett., vol. 12, no. 3, pp. 173-176, Mar. 2005.
11. M. R. Schroeder, "Statistical parameters of the frequency response curves of large rooms," J. Acoust. Soc. Amer., vol. 35, no. 5, pp. 299-303, May 1987.
12. R. W. Waterhouse, "Statistical properties of reverberant sound fields," J. Acoust. Soc. Amer., vol. 43, no. 6, pp. 1436-1444, May 1968.
13. J. B. Allen and D. A. Berkley, "Image method for efficiently simulating small-room acoustics," J. Acoust. Soc. Amer., vol. 65, no. 4, pp. 943-950, Apr. 1979.