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A Network Echo Canceler Based on a SRF QRD-LSL Adaptive Algorithm Implemented on Motorola StarCore SC140 DSP

  • C. Paleologu
  • A. A. Enescu
  • S. Ciochina
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3124)

Abstract

A novel network echo canceler based on a square root free QR-decomposition-based least-squares lattice (SRF QRD-LSL) adaptive algorithm is presented. Specific characteristics of this type of algorithms are their high convergence rate, numerical stability and superior robustness to double-talk, which is not present in the case of the normalized least mean squares (NLMS) family of algorithms. This echo canceler is implemented on a powerful fixed-point digital signal processor (DSP), Motorola SC140. The experimental results prove superior performances over the classical echo cancelers based on NLMS algorithms.

Keywords

Adaptive Algorithm Digital Signal Processor Adaptive Filter Assembly Code Normalize Little Mean Square 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Duttweiler, D.L.: Proportionate Normalized Least-Mean-Squares Adaptation in Echo Cancelers. IEEE Trans. Speech and Audio Proc. 8(5), 508–518 (2000)CrossRefGoogle Scholar
  2. 2.
    Gay, S.L.: An Efficient, Fast Converging Adaptive Filter for Network Echo Cancellation. In: Proc. Asilomar, Pacific Grove, CA, pp. 394–398 (1998)Google Scholar
  3. 3.
    Haykin, S.: Adaptive Filter Theory, 4th edn. Prentice Hall, Upper Saddle River (2002)Google Scholar
  4. 4.
    Paleologu, C., Ciochina, S., Enescu, A.A.: Modified versions of QRD-LSL Adaptive Algorithm with Lower Computational Complexity. Rev. Roum. Sci. Techn. – Electrotechn. et Energ. 46(3), 333–352 (2001)MathSciNetGoogle Scholar
  5. 5.
    Paleologu, C., Ciochina, S., Enescu, A.A.: On the Behaviour of Two Square-Root Free QRD-LSL Adaptive Algorithms in Fixed-Point DSP Implementation. Rev. Roum. Sci. Techn. – Electrotechn. et Energ. 47(4), 387–399 (2002)Google Scholar
  6. 6.
    Gänsler, T., Gay, S.L., Sondhi, M.M., Benesty, J.: Double-Talk Robust Fast Converging Algorithms for Network Echo Cancellation. IEEE Trans. Speech and Audio Proc. 8(6), 656–663 (2000)CrossRefGoogle Scholar
  7. 7.
    Liu, J.: A Novel Adaptation Scheme in the NLMS Algorithm for Echo Cancellation. IEEE Sign. Proc. Letters 8(1), 20–22 (2001)CrossRefGoogle Scholar
  8. 8.
    Ciochina, S., Paleologu, C.: On the Performances of QRD-LSL Adaptive Algorithm in Echo Cancelling Configuration. In: Proc. IEEE ICT 2001, Bucharest, Romania, vol. 1, pp. 563–567 (2001)Google Scholar
  9. 9.
    Paleologu, C., Ciochina, S., Enescu, A.A.: A Simplified QRD-LSL Adaptive Algorithm in Echo Cancelling Configuration. In: Proc. IEEE ICT 2002, Beijing, China, vol. 1, pp. 240–244 (2002)Google Scholar
  10. 10.
    ITU-T Recommendation G.168: Digital Network Echo Cancellers, Draft 3 (2000) Google Scholar
  11. 11.
    Motorola SC140 DSP Core Reference Manual, Revised 1, 6 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • C. Paleologu
    • 1
  • A. A. Enescu
    • 1
  • S. Ciochina
    • 1
  1. 1.Electronics and Telecommunication Faculty, Telecommunications DepartmentUniversity Politehnica of BucharestBucharestRomania

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