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A Low Delay and Fast Converging Improved Proportionate Algorithm for Sparse System Identification

EURASIP Journal on Audio, Speech, and Music Processing volume 2007, Article number: 084376 (2007) Cite this article

Abstract

A sparse system identification algorithm for network echo cancellation is presented. This new approach exploits both the fast convergence of the improved proportionate normalized least mean square (IPNLMS) algorithm and the efficient implementation of the multidelay adaptive filtering (MDF) algorithm inheriting the beneficial properties of both. The proposed IPMDF algorithm is evaluated using impulse responses with various degrees of sparseness. Simulation results are also presented for both speech and white Gaussian noise input sequences. It has been shown that the IPMDF algorithm outperforms the MDF and IPNLMS algorithms for both sparse and dispersive echo path impulse responses. Computational complexity of the proposed algorithm is also discussed.

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References

  1. Radecki J, Zilic Z, Radecka K: Echo cancellation in IP networks. Proceedings of the 45th Midwest Symposium on Circuits and Systems, August 2002, Tulsa, Okla, USA 2: 219-222.

    Google Scholar 

  2. Boujida M, Boucher J-M: Higher order statistics applied to wavelet identification of marine seismic signals. Proceedings of European Signal Processing Conference (EUSIPCO '96), September 1996, Trieste, Italy

    Google Scholar 

  3. Cheng Y-F, Etter DM: Analysis of an adaptive technique for modeling sparse systems. IEEE Transactions on Acoustics, Speech, and Signal Processing 1989,37(2):254-264. 10.1109/29.21688

    Article  Google Scholar 

  4. Robinson EA, Durrani TS: Geophysical Signal Processing. Prentice-Hall, Englewood Cliffs, NJ, USA; 1986.

    Google Scholar 

  5. Duttweiler DL: Proportionate normalized least-mean-squares adaptation in echo cancelers. IEEE Transactions on Speech and Audio Processing 2000,8(5):508-518. 10.1109/89.861368

    Article  Google Scholar 

  6. Benesty J, Gay SL: An improved PNLMS algorithm. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '02), May 2002, Orlando, Fla, USA 2: 1881-1884.

    Google Scholar 

  7. Cui J, Naylor PA, Brown DT: An improved IPNLMS algortihm for echo cancellation in packet-switched networks. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '04), May 2004, Montreal, Que, Canada 4: 141-144.

    Google Scholar 

  8. Deng H, Doroslovački M: New sparse adaptive algorithms using partial update. Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '04), May 2004, Montreal, Que, Canada 2: 845-848.

    Google Scholar 

  9. Dogançay K, Tanrikulu O: Adaptive filtering algorithms with selective partial updates. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 2001,48(8):762-769. 10.1109/82.959866

    Article  MATH  Google Scholar 

  10. Deng H, Doroslovački M: Improving convergence of the PNLMS algorithm for sparse impulse response identification. IEEE Signal Processing Letters 2005,12(3):181-184.

    Article  Google Scholar 

  11. Cooley JW, Tukey JW: An algorithm for the machine calculation of complex Fourier series. Mathematics of Computation 1965,19(90):297-301. 10.1090/S0025-5718-1965-0178586-1

    Article  MathSciNet  MATH  Google Scholar 

  12. Haykin S: Adaptive Filter Theory, Information and System Science Series. 4th edition. Prentice-Hall, Englewood Cliffs, NJ, USA; 2002.

    Google Scholar 

  13. Shynk JJ: Frequency-domain and multirate adaptive filtering. IEEE Signal Processing Magazine 1992,9(1):14-37. 10.1109/79.109205

    Article  Google Scholar 

  14. Hänsler E, Schmidt GU: Hands-free telephones - joint control of echo cancellation and postfiltering. Signal Processing 2000,80(11):2295-2305. 10.1016/S0165-1684(00)00118-3

    Article  MATH  Google Scholar 

  15. Soo J-S, Pang KK: Multidelay block frequency domain adaptive filter. IEEE Transactions on Acoustics, Speech, and Signal Processing 1990,38(2):373-376. 10.1109/29.103078

    Article  Google Scholar 

  16. Benesty J, Gänsler T, Morgan DR, Sondhi MM, Gay SL: Advances in Network and Acoustic Echo Cancellation. Springer, New York, NY, USA; 2001.

    Book  MATH  Google Scholar 

  17. Khong AWH, Benesty J, Naylor PA: An improved proportionate multi-delay block adaptive filter for packet-switched network echo cancellation. Proceedings of the 13th European Signal Processing Conference (EUSIPCO '05), September 2005, Antalya, Turkey

    Google Scholar 

  18. Benesty J, Huang YA, Chen J, Naylor PA: Adaptive algorithms for the identification of sparse impulse responses. In Selected Methods for Acoustic Echo and Noise Control. Edited by: Hänsler E, Schmidt G. Springer, New York, NY, USA; 2006:125-153. chapter 5

    Google Scholar 

  19. Hoyer PO: Non-negative matrix factorization with sparseness constraints. Journal of Machine Learning Research 2004, 5: 1457-1469.

    MathSciNet  MATH  Google Scholar 

  20. Gray R: On the asymptotic eigenvalue distribution of toeplitz matrices. IEEE Transactions on Information Theory 1972,18(6):725-730. 10.1109/TIT.1972.1054924

    Article  MATH  Google Scholar 

  21. Lee J, Chong S-C: On the convergence properties of multidelay frequency domain adaptive filter. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '99), March 1999, Phoenix, Ariz, USA 4: 1865-1868.

    Google Scholar 

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, London, SW7 2AZ, UK

    Andy W.H. Khong & Patrick A. Naylor

  2. INRS-EMT, Université du Québec, Suite 6900, 800 de la Gauchetière Ouest, Montréal, QC, H5A 1K6, Canada

    Jacob Benesty

Authors
  1. Andy W.H. Khong
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  2. Patrick A. Naylor
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  3. Jacob Benesty
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Correspondence to Andy W.H. Khong.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Khong, A.W., Naylor, P.A. & Benesty, J. A Low Delay and Fast Converging Improved Proportionate Algorithm for Sparse System Identification. J AUDIO SPEECH MUSIC PROC. 2007, 084376 (2007). https://doi.org/10.1155/2007/84376

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