An improved partial Haar dual adaptive filter for rapid identification of a sparse echo channel

Signal Processing

Volumn 89, Issue 5, 2009, Pages 710-723

  Kechichian, P ^a   Champagne, B ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Adaptive filters; Dezert Smarandache theory; Fuzzy inference; Haar transform; Line echo cancellation; Sparse system identification

Indexed keywords

ADAPTIVE FILTERING; ADAPTIVE FILTERS; ELECTRIC FILTERS; FOURIER TRANSFORMS; FUZZY INFERENCE; IMPULSE RESPONSE; PROGRAMMING THEORY;

ABRUPT CHANGES; ALGORITHMIC SOLUTIONS; COMPUTATIONAL COSTS; DEZERT-SMARANDACHE THEORY; DISPERSIVE REGIONS; ECHO CANCELLATIONS; ECHO CANCELLERS; ECHO PATHS; ENHANCED PERFORMANCE; FEASIBLE SOLUTIONS; HAAR TRANSFORM; LINE ECHO CANCELLATION; MEAN-SQUARE ERRORS; MULTIPLE ECHOES; POLY-PHASE REPRESENTATIONS; RAPID IDENTIFICATIONS; SPARSE SYSTEM IDENTIFICATION; TIME DOMAINS; TRACKING PERFORMANCE;

ECHO SUPPRESSION;

EID: 58849127306     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2008.10.033     Document Type: Article

References (31)

1. Vaseghi S.V. Advanced Signal Processing and Digital Noise Reduction (1996), Wiley, B.G. Teubner, New York, Stuttgart
2. S. Dimolitsas, J.G. Phipps Jr., A. Wong, Impact of delay on the voice transmission performance of mobile-satellite systems, in: Proceedings of the IEEE 10th International Conference on Digital Satellite Communications, vol. 1, 1995, pp. 96-100.
3. Duttweiler D.L. Subsampling to estimate delay with application to echo cancelling. IEEE Trans. Acoust. Speech Signal Process. 31 (1983) 1090-1099
4. Martin R.K., Sethares W.A., Williamson R.C., and Johnson Jr. C.R. Exploiting sparsity in adaptive filters. IEEE Trans. Signal Process. 50 8 (2002) 1883-1894
5. Yip P.C.-W., and Etter D.M. An adaptive multiple echo canceller for slowly time-varying echo paths. IEEE Trans. Commun. 38 (1990) 1693-1698
6. Sugiyama A., and Ikeda S. A fast convergence algorithm for adaptive FIR filters with sparse taps. IEICE Trans. Fundamentals E77-A (1994) 681-686
7. Kawamura S., and Hatori M. A tap selection algorithm for adaptive filters. Proceedings of the IEEE International Conference on Acoustics, Speech, Signal Processing (1986) 2979-2982
8. Duttweiler D.L. Proportionate normalized least-mean-squares adaptation in echo cancelers. IEEE Trans. Speech Audio Process. 8 5 (2000) 508-518
9. Gay S.L. An efficient, fast converging adaptive filter for network echo cancellation. Proceedings of the 37th Asilomar Conference on Signals, Systems, and Computers vol. 1 (1998) 394-398
10. Benesty J., and Gay S.L. An improved PNLMS algorithm. Proceedings of the IEEE International Conference on Acoustics, Speech, Signal Processing vol. 2 (2002) 1881-1884
11. Cui J., Naylor P.A., and Brown D.T. An improved IPNLMS algorithm for echo cancellation in packet-switched networks. Proceedings of the IEEE International Conference on Acoustics, Speech, Signal Processing vol. 4 (2004) 141-144
12. Doroslovački M., and Fan H. On-line identification of echo-path impulse responses by Haar-wavelet-based adaptive filter. Proceedings of the IEEE International Conference on Acoustics, Speech, Signal Processing vol. 2 (1995) 1065-1068
13. Ho K.C., and Blunt S.D. Rapid identification of a sparse impulse response using an adaptive algorithm in the Haar domain. IEEE Trans. Signal Process. 51 3 (2003) 628-638
14. Bershad N.J., and Bist A. Fast coupled adaptation for sparse impulse responses using a partial Haar transform. IEEE Trans. Signal Process. 53 3 (2005) 966-976
15. Bershad N.J., Bermudez J., and Tourneret J.-Y. Stochastic analysis of the LMS algorithm for system identification with subspace inputs. IEEE Trans. Signal Process. 56 (2008) 1018-1027
16. Ribas C., Bermudez J., and Bershad N.J. Low-complexity robust sparse channel identification using partial block wavelet transforms-analysis and implementation. Proceedings of the IEEE International Conference on Acoustics, Speech, Signal Processing (2008) 3281-3284
17. Mendel J.M. Fuzzy logic systems for engineering. Proc. IEEE 83 3 (1995) 345-377
18. Dezert J. Foundations for a new theory of plausible and paradoxical reasoning. Int. J. Inf. Security 9 (2002) 13-57
19. Burrus C.S., Gopinath R.A., and Guo H. Introduction to Wavelets and Wavelet Transforms, A Primer. first ed. (1998), Prentice-Hall, Inc., Englewood Cliffs, NJ
20. Digital network echo cancellers, ITU-T recommendation G.168, Technical Report, International Telecommunication Union, August 2004.
21. Tchamova A., Semerdjiev T., and Dezert J. Estimation of target behavior tendencies using DSmT. In: Dezert J., and Smarandache F. (Eds). Advances and Applications of DSmT for Information Fusion (Collected Works) vol. I (2004), American Research Press
22. Klir G.J., and Yuan B. Fuzzy Sets and Fuzzy Logic: Theory and Applications (1995), Prentice-Hall, New Jersey
23. Wang L.-X., and Mendel J.M. Generating fuzzy rules by learning from examples. IEEE Trans. Syst. Man Cybern. 22 6 (1992) 1414-1427
24. Nguyen H.T., and Walker E.A. A First Course in Fuzzy Logic. second ed. (2000), Chapman & Hall, CRC, London, Boca Raton, FL
25. Zadeh L.A. The role of fuzzy logic in the management of uncertainty in expert systems. Fuzzy Sets Syst. 11 1 (1983) 199-227
26. Wang L.-X., and Mendel J.M. Fuzzy adaptive filters, with application to nonlinear channel equalization. IEEE Trans. Fuzzy Syst. 1 (1993) 161-170
27. Gan W.-S. Fuzzy step-size adjustment for the LMS algorithm. Signal Processing 49 (1996) 145-149
28. Gan W.-S. Designing a fuzzy step size LMS algorithm. IEE Proc. Vis. Image Signal Process. 144 (1997) 261-266
29. Dezert J., Smarandache F., and Khoshnevisan M. Counter-examples to Dempster's rule of combination. In: Dezert J., and Smarandache F. (Eds). Advances and Applications of DSmT for Information Fusion (Collected Works) (2004), American Research Press
30. C. Cruz, D.A. Pelta, A.S. Royo, J.L. Verdegay, Soft computing and cooperative strategies for optimization, in: Proceedings of the IEEE Mid-summer Workshop on Soft Computing in Industrial Applications, Espoo, Finland, 2005.
31. Trivedi K.S. Probability and Statistics with Reliability, Queuing, and Computer Science Applications (2002), Wiley, USA