Criteria for Multichannel Signal Separation

IEEE Transactions on Signal Processing

Volumn 42, Issue 8, 1994, Pages 2158-2168

  Weinstein, Ehud ^b  

^a TEL AVIV UNIVERSITY   (Israel)

^b WOODS HOLE OCEANOGRAPHIC INSTITUTION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTATIONAL COMPLEXITY; CORRELATION THEORY; FREQUENCY RESPONSE; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; SIGNAL FILTERING AND PREDICTION; THEOREM PROVING;

LINEAR TIME INVARIANT SYSTEMS; MULTICHANNEL SIGNAL SEPARATION; MULTIPLE INPUT MULTIPLE OUTPUT LINEAR SYSTEMS;

SIGNAL PROCESSING;

EID: 0028483971     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.301850     Document Type: Article

References (19)

1. Y. Bar-Ness and Y. Rockach, “Cross-coupled bootstrapped interference canceller,” in Proc. Int. Conf. Antenn., Propagat., June 1981.
2. D. H. Brandwood, “Cross-coupled cancellation system for improving cross-polarization discrimination,” in Proc. Int. Conf. Antenn., Propagat. (London, U.K.), Part I, Nov. 1978, pp. 41-45.
3. D. R. Brillinger, Time Series, Data Analysis and Theory. San Francisco, CA: Holden-Day, 1981.
4. J. F. Cardoso, “Source separation using higher order moments,” in Proc. IEEE ICASSP, vol. 4, 1989, pp. 2109–2112.
5. J. F. Cardoso, “Iterative techniques for blind sources separation using only 4th order cumulants,” in Proc. EUSIPCO, 1992, pp. 739–742.
6. P. Comon, “Independent component analysis,” in Proc. Int. Workshop Higher-Order Statist. (Chmrousse-France), July 1991.
7. P. Comon, C. Jutten, and J. Herault, “Blind separation of sources, part II: Problems statement,” Signal Processing, vol. 24, no. 1, pp. 11–20, July 1991.
8. G. Desodt and D. Muller, “Complex independent component analysis applied to the separation of radar signals,” in Proc. EUSIPCO, 1990, pp. 665–668.
9. C. Jutten and J. Herault, “Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture,” Signal Processing, vol. 24, no. 1, pp. 1–10, July 1991.
10. C. Jutten, L. Nguyen Thi, E. Dijkstra, E. Vittoz, and J. Caelen, “Blind separation of sources: An algorithm for separation of convolutive mixtures,” Int. Workshop Higher-Order Statist. (Chmrousse-France), July 1991.
11. J. L. Lacoume and P. Ruiz, “Source identification: A solution based on cumulants,” in Proc. 4th ASSP Workshop Spectral Estimation, Modeling, pp. 199–203, Aug. 1988.
12. J. L. Lacoume and P. Ruiz, “Separation of independent sources from correlated inputs,” IEEE Trans. Signal Processing, vol. 40, no. 12, pp. 3074–3078, Dec. 1992.
13. C. L. Nikias and M. R. Raghuveer, “Bispectrum estimation: A digital signal processing frame work,” Proc. IEEE, vol. 75, no. 7, pp. 869–891, July 1987.
14. Proakis, Digital Communications, 2nd ed. New York: McGraw-Hill, 1989.
15. E. Sorouchyari, C. Jutten, and J. Herault, “Blind separation of sources, part III: Stability analysis,” Signal Processing, vol. 24, no. 1, pp. 21–29, July 1991.
16. L. Tong, V. C. Soon, Y. F. Huang, and R. Liu, “Multiple source separation in noise,” 27th Ann. Allerton Conf. Commun., Control, Computing (Urbana, IL), Sept. 1989.
17. E. Weinstein, M. Feder, and A. V. Oppenheim, “Multi-channel signal separation based on decorrelation,” to be published in IEEE Trans. Signal Processing (also Tech. Rep. No. EE-S-92-14, Dept, of Elec. Eng.-Syst., Tel-Aviv University, Tel-Aviv, Israel, Oct. 1992).
18. B. Widrow et al., “Adaptive noise canceling: principles and applications,” Proc. IEEE, vol. 63, pp. 1692–1716, 1975.
19. D. Yellin and E. Weinstein, “Criteria for multi-channel signal separation,” Tech. Rep. No. EE-S-92-06, Dept, of Elec. Eng.-Syst., Tel-Aviv University, Tel-Aviv, Israel, May 1992.