The coherence function in blind source separation of convolutive mixtures of non-stationary signals

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn , Issue , 2001, Pages 303-312

  Fancourt, Craig L ^a   Parra, Lucas ^a  

^a SARNOFF CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; COHERENT LIGHT; RECURSIVE FUNCTIONS; SENSORS;

NON-STATIONARY SIGNALS;

SIGNAL FILTERING AND PREDICTION;

EID: 0035783811     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. S. Haykin (ed.), Unsupervised adaptive filtering, vol. 1: blind source separation, John Wiley & Sons, New York, 2000.
2. S. Roberts and R. Everson (eds.), Independent component analysis: principles and practice, Cambridge Univ. Press, Cambridge, U.K., 2001.
3. L. Parra, C. Spence, and B. De Vries, Convolutive blind source separation based on multiple decorrelation, in IEEE Workshop on Neural Networks for Signal Processing, Cambridge, UK, 1998.
4. L. Parra and C. Spence, Convolutive blind separation of non-stationary sources, IEEE Trans. Speech Audio Proc., vol. 8, no. 3, pp. 320-327, 2000.
5. L. Parra and C. Spence, On-line convolutive blind source separation of non-stationary signals, Journal of VLSI Signal Processing, vol. 26, pp. 39-46, 2000.
6. E. Weinstein, M. Feder, and A.V. Oppenheim, Multi-channel signal separation by decorrelation, IEEE Trans. Speech Audio Processing, vol. 1, no. 4, pp. 405-413, 1993.
7. S. Van Gerven and D. Van Compernolle, Signal separation by symmetric adaptive decorrelation: stability, convergence, and uniqueness, IEEE Trans. Signal Processing, vol. 43, no. 7, pp. 1602-1612, 1995.
8. M. Kawamoto, A method of blind separation for convolved non-stationary signals, Neurocomputing, vol. 22, no. 1-3, pp. 157-171, 1998.
9. D. Yellin and E. Weinstein, Multichannel signal separation: methods and analysis, IEEE Trans. Signal Processing, vol. 44, no. 1, pp. 106-118, 1996.
10. H.-L.N. Thi and C. Jutten, Blind source separation for convolutive mixtures, Signal Processing, vol. 45, no. 2, pp. 209-229, 1995.
11. V. Capdevielle, C. Serviere, and J.L. Lacoume, Blind separation of wide-band sources in the frequency domain, in Proc. ICASSP 95, pp. 2080-2083, 1995.
12. S. Shamsunder and G. Giannakis, Multichannel blind signal separation and reconstruction, IEEE Trans. Speech Audio Processing, vol. 5, no. 6, pp. 515-528, 1997.
13. S. Cruses and L. Castedo, A Gauss-Newton method for blind separation of convolutive mixtures, in Proc. ICASSP 98, Seattle, WA, 1998.
14. R. Lambert and A. Bell, Blind separation of multiple speakers in a multipath environment, in Proc. ICASSP 97, pp. 423-426, 1997.
15. S. Amari, S.C. Douglas, A. Cichocki, and A.A. Yang, Multichannel blind deconvolution using the natural gradient, in Proc. 1st IEEE Workshop on Signal Processing App. Wireless Comm., pp. 101-104, 1997.
16. T. Lee, A. Bell, and R. Lambert, Blind separation of delayed and convolved sources, in Proc. Neural Information Processing Systems 96, 1997.
17. P. Smaragdis, Blind separation of convolved mixtures in the frequency domain, Neurocomputing, vol. 22, pp. 21-34, 1998.
18. J. Principe, Simultaneous diagonalization in the frequency domain (SDIF) for source separation, in ICA 99, pp. 245-250, 1999.
19. K.-C Yen and Y. Zhao, Adaptive Co-channel speech separation and recognition, IEEE Trans. Signal Processing, vol. 7, no. 2, 1999.
20. S. Haykin, Adaptive Filter Theory, Prentice Hall, New Jersey, 1996.