Blind Signal Separation: II. Linear, Convolutive Combinations

Digital Signal Processing: A Review Journal

Volumn 6, Issue 1, 1996, Pages 17-28

  Pope, Kenneth J ^a   Bogner, Robert E ^a,b,c,d,e  

^a Technology Park ^*  (Australia)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c LUCENT TECHNOLOGIES   (United States)

^d Ctr for Electro Des and Technol   (India)

^e DEFENCE SCIENCE AND TECHNOLOGY LABORATORY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SIGNAL SEPARATION; INDEPENDENT COMPONENT ANALYSIS; LINEAR CONVOLUTIVE COMBINATIONS; PERMUTATION; SENSOR MEASUREMENTS; SPEECH ENHANCEMENT;

INTERFERENCE SUPPRESSION; MATHEMATICAL MODELS; NEURAL NETWORKS; SENSORS; SIGNAL THEORY; SPEECH PROCESSING; STATISTICAL METHODS;

DIGITAL SIGNAL PROCESSING;

EID: 0029733117     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1006/dspr.1996.0003     Document Type: Article

References (52)

1. Pope, K. J., and Bogner, R. E. Blind signal separation. I: Linear, instantaneous combinations. Digital Signal Process. 6 (1996), 5-16.
2. Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Dong, E., and Goodlin, R. C. Adaptive noise cancelling: Principles and applications. IEEE Proc. 63(12) (December 1975), 1692-1716.
3. Al-Kindi, M. J., and Dunlop, J. Improved adaptive noise cancellation in the presence of signal leakage on the noise reference channel. Signal Process. 17 (1989), 241-250.
4. Canagarajah, C. N. Digital Signal Processing Techniques for Speech Enhancement in Hearing Aids. Ph.D. thesis, Christ's College, University of Cambridge, 1993.
5. Nguyen Thi, H. L., Jutten, C., and Caelen, J. Speech enhancement: Analysis and comparison of methods on various real situations. In Signal Processing VI: Theories and Applications (J. Vandewalle, R. Boite, M. Moonen, and A. Oosterlinck, Eds.), 1992, pp. 303-306.
6. Feder, M., and Weinstein, E. Parameter-estimation of superimposed signals using the EM algorithm. IEEE Trans. Acoust. Speech, Signal Process. 36(4) (April 1988), 477-489.
7. Feder, M., Oppenheim, A. V., and Weinstein, E. Maximum likelihood noise cancellation using the EM algorithm. IEEE Trans. Acoust. Speech, Signal Process. 37(2) (February 1989), 204-216.
8. Weinstein, E., Oppenheim, A. V., Feder, M., and Buck, J. R. Iterative and sequential algorithms for multisensor signal enhancement. IEEE Trans. Signal Process. 42(4) (April 1994), 846-859.
9. Jutten, C., and Herault, J. Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture. Signal Process. 24(1) (July 1991), 1-10.
10. Jutten, C., Nguyen Thi, L., Dijkstra, E., Vittoz, E., and Caelen, J. Blind separation of sources: An algorithm for separation of convolutive mixtures. In Higher Order Statistics: Proceedings of the International Signal Processing Workshop on Higher Order Statistics (J. L. Lacoume, Ed.), 1991, Elsevier, Amsterdam, pp. 275-278.
11. Platt, J. C., and Faggin, F. Networks for the separation of sources that are superimposed and delayed. In Advances in Neural Information Processing Systems 4, Morgan Kaufmann, 1992, pp. 730-737.
12. Van Compernolle, D., and Van Gerven, S. Signal separation in a symmetric adaptive noise canceler by output decorrelation. In International Conference on Acoustics, Speech and Signal Processing, Vol. IV, 1992, pp. 221-224.
13. Weinstein, E., Feder, M., and Oppenheim, A. V. Multi-channel signal separation by decorrelation. IEEE Trans. Speech Audio Process. 1(4) (October 1993), 405-413.
14. Yellin, D., and Weinstein, E. Multi-channel signal separation based on cross-bispectra. In IEEE Signal Processing Workshop on Higher-Order Statistics, 1993, pp. 270-274.
15. Nájar, M., Lagunas, M. A., and Bonet, I. Blind wideband source separation. In International Conference on Acoustics, Speech and Signal Processing, Vol. IV, 1994, pp. 65-68.
16. Bell, A. J., and Sejnowski, T. J. An information-maximisation approach to blind signal separation and blind deconvolution. Technical Report INC-9501, Institute for Neural Computation, University of California, San Diego, 1995.
17. Tong, L., Liu, R. W., Soon, V. C., and Huang, Y. F. Indeterminacy and identifiability of blind identification. IEEE Trans. Circuits Syst. 38(5) (May 1991), 499-509.
18. Shamsunder, S., and Giannakis, G. B. Modeling of non-Gaussian array data using cumulants: DOA estimation of more sources with less sensors. Signal Process. 30 (1993), 279-297.
19. Doǧan, M. C., and Mendel, J. M. Single sensor detection and classification of multiple sources by higher-order spectra. IEE Proc. Part F 140(6) (December 1993), 350-355.
20. Cardoso, J. F. Super-symmetric decomposition of the fourth-order cumulant tensor. Blind identification of more sources than sensors. In International Conference on Acoustics, Speech and Signal Processing, 1991, pp. 3109-3112.
21. Burel, G. Blind separation of sources - A nonlinear neural algorithm. Neural Networks 5(6) (1992), 937-947.
22. Jeffreys, H. Theory of Probability. Oxford Univ. Press, London, 1983.
23. Herault, J., and Jutten, C. Space or time adaptive signal processing by neural network models. In International Conference on Neural Networks for Computing, Snowbird, USA, 1986.
24. Cardoso, J. Source separation using higher order moments. In International Conference on Acoustics, Speech and Signal Processing, 1989, pp. 2109-2112.
25. Comon, P. Statistical approach to the Jutten-Herault algorithm. In NATO Workshop on Neuro-Computing, Les Arcs, France, 1989.
26. Comon, P. Separation of stochastic processes. In Workshop on Higher-Order Spectral Analysis, Vail, Colorado, June 1989. pp. 174-179.
27. Liu, X., and Herault, J. Colour image processing by a neural network model. In International Neural Network Conference, 1990, pp. 3-6.
28. Soon, V. C., Tong, L., Huang, Y. F., and Liu, R. An extended fourth order blind identification algorithm in spatially correlated noise. In International Conference on Acoustics, Speech and Signal Processing, 1990, pp. 1365-1368.
29. Tong, L., Soon, V. C., Huang, Y. F., and Liu, R. AMUSE: A new blind identification algorithm. In International Conference on Acoustics, Speech and Signal Processing, 1990, pp. 1784-1787.
30. Comon, P., Jutten, C., and Herault, J. Blind separation of sources, Part II: Problems statement. Signal Process. 24(1) (July 1991), 11-20.
31. Jutten, C., Guerin, A., and Nguyen Thi, H. L. Adaptive optimization of neural algorithms. Lect. Notes Comput. Sci. 540 (1991), 54-61.
32. Segal, M., Weinstein, E., and Musicus, B. R. Estimate-Maximize algorithms for multichannel time delay and signal estimation. IEEE Trans. Signal Process. 39(1) (January 1991), 1-16.
33. Sorouchyari, E. Blind separation of sources, Part III: Stability analysis. Signal Process. 24(1) (July 1991), 21-29.
34. Tong, L., Inouye, Y., and Liu, R. Eigenstructure-based blind identification of independent signals. In International Conference on Acoustics, Speech and Signal Processing, 1991, pp. 3329-3332.
35. Bogner, R. E. Blind separation of sources. Technical Report 4559, Defence Research Agency, Malvern, May 1992.
36. Cichocki, A., and Moszczynski, L. New learning algorithm for blind separation of sources. Electron. Lett. 28(21) (1992), 1986-1987.
37. Comon, P. Independent component analysis. In Higher Order Statistics: Proceedings of the International Signal Processing Workshop on Higher Order Statistics (J. L. Lacoume, Ed.), Elsevier, Amsterdam, 1991, pp. 29-39.
38. Gaeta, M., and Lacoume, J. L. Source separation versus hypothesis. In Higher Order Statistics: Proceedings of the International Signal Processing Workshop on Higher Order Statistics (J. L. Lacoume, Ed.), Elsevier, Amsterdam, 1991, pp. 271-274.
39. Lacoume, J. L., Gaeta, M., and Kofman, W. Source separation using higher order statistics. J. Atmos. Terr. Phys. 54(10) (1992), 1217-1226.
40. Lacoume, J. L., and Ruiz, P. Separation of independent sources from correlated inputs. IEEE Trans. Signal Process. 40(12) (December 1992), 3074-3078.
41. Pham, D. T., Garat, P., and Jutten, C. Separation of a mixture of independent sources through a maximum likelihood approach. In Signal Processing VI: Theories and Applications (J. Vandewalle, R. Boite, M. Moonen, and A. Oosterlinck, Eds.), 1992, pp. 771-774.
42. Cardoso, J. F., and Souloumiac, A. Blind beamforming for non-Gaussian signals. IEE Proc. Part F 140(6) (December 1993), 362-370.
43. Chaumette, E., Comon, P., and Muller, D. ICA-based technique for radiating sources estimation - application to airport surveillance. IEE Proc. Part F 140(6) (December 1993), 395-401.
44. Tong, L., Inouye, Y., and Liu, R. Waveform-preserving blind estimation of multiple independent sources. IEEE Trans. Signal Process. 41(7) (July 1993), 2461-2470.
45. Abed-Meraim, K., Belouchrani, A., Cardoso, J. F., and Moulines, E. Asymptotic performance of second order blind separation. In International Conference on Acoustics, Speech and Signal Processing, Vol. IV, 1994, pp. 277-280.
46. Cardoso, J. F., Belouchrani, A., and Laheld, B. A new iterative composite criterion for adaptive and iterative blind source separation. In International Conference on Acoustics, Speech and Signal Processing, Vol. IV, 1994, pp. 273-276.
47. Comon, P. Independent component analysis, A new concept? Signal Process. 36 (1994), 287-314.
48. Delfosse, N., and Loubaton, P. Adaptive separation of independent sources: A deflation approach. In International Conference on Acoustics, Speech and Signal Processing, Vol. IV, 1994, pp. 41-44.
49. Karhunen, J., and Joutsensalo, J. Representation and separation of signals using nonlinear PCA type learning. Neural Networks 7(1) (1994), 113-127.
50. Moreau, E., and Macchi, O. A one stage self-adaptive algorithm for source separation. In International Conference on Acoustics, Speech and Signal Processing, Vol. III, 1994, pp. 49-52.
51. Pope, K. J., and Bogner, R. E. Blind separation of speech signals. In Fifth Australian International Conference on Speech Science and Technology, Vol. I, 1994, pp. 46-50.
52. Van Gerven, S., and Van Compernolle, D. On the use of decorrelation in scalar signal separation. In International Conference on Acoustics, Speech and Signal Processing, Vol. III, 1994, pp. 57-60.