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Article:Adaptation Controll Parmeters of Multipath Model of an Adaptive Acoustic Echo Canceller

by Sanjeev Kumar Dhull, Manoj Duhan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 4
Year of Publication: 2010
Authors: Sanjeev Kumar Dhull, Manoj Duhan
10.5120/109-224

Sanjeev Kumar Dhull, Manoj Duhan . Article:Adaptation Controll Parmeters of Multipath Model of an Adaptive Acoustic Echo Canceller. International Journal of Computer Applications. 1, 4 ( February 2010), 15-18. DOI=10.5120/109-224

@article{ 10.5120/109-224,
author = { Sanjeev Kumar Dhull, Manoj Duhan },
title = { Article:Adaptation Controll Parmeters of Multipath Model of an Adaptive Acoustic Echo Canceller },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 4 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number4/109-224/ },
doi = { 10.5120/109-224 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:44:08.593995+05:30
%A Sanjeev Kumar Dhull
%A Manoj Duhan
%T Article:Adaptation Controll Parmeters of Multipath Model of an Adaptive Acoustic Echo Canceller
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 4
%P 15-18
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An overview of acoustic echo cancellation systems is presented. First the basics of echo's, type of echo's , why echo canceller are required and what are the difference between echo canceller are explained then the application where they can be used is discussed.. This paper presents applications of acoustic echo control and shows most recent solutions. For some selected applications (LEM) results achieved are presented.

References
  1. S. Haykin, Adaptive Filter Theory, Englewood Cliffs, N.J., Prentice-Hall, 1991.
  2. Sondhi, M. M., and Berkley, D.A. Silencing Echoes on the Telephone Network, Proc. IEEE, Vol. 68, NO. 8, August 1980, pp. 948-963.
  3. Sondhi, M. M and Mitra, D. New Results on the Performance of a Well-Known Class of Adaptive filter, IEEE, 1976, Vol. 64, No. 11, pp. 1583-1597
  4. H. Brehm and W. Stammler, Description and generation of spherically invariant speech-model signals, Signal processin vol. 12, no. 2, pp. 119-141, March 1987 .
  5. M. Montazeri and P. Duhamel, A set of algorithms linking NLMS and block RLS algorithms, IEEE Signal Processing, vol. 43, pp. 444-453, Feb. 1995.
  6. T. K. Moon and W. C. Stirling, Mathematical Methods and Algorithms for Signal Processing, New Jersey: Prentice Hall, 2000.
  7. B. Farhang-Boronjeny, Adaptive Filters Theory and Application,New York: Wiley, 2000.
  8. B. Widrow and S.D. Stearns. Adaptive Signal Processing Engleaood Cliffs, NJ: Prentict. Hall ,2001.
  9. A. Mader, H. Puder, and G. U. Schmidt, Step-size control for acoustic cancellation filters Signal Process., vol. 80, pp. 1697-1719, 2000[
  10. S. Ben Jebara, H. Besbes, A variable step size filtered sign algorithm for acoustic echo cancellation, IEEE vol. 39, no. 12, pp. 936-938, June 2003
  11. S. Douglas, "A family of normalized LMS algorithms, IEEE signal processing letters, vol. 1, no. 3, pp. 49-51, March 1994.
  12. Sophocles J. Orfanidis, Optimum Signal processing an Introduction, McGraw hill 1988.
  13. J.G. Proakis and D.G. Manolakis, Digital Signal Processing Principles,Algorithms and Applications, Prentice Hall,1996.
  14. R. Brennan, and T. Schneider, A flexible filterbank structure for extensive signal manipulation in digital hearing aids,Proc.IEEE Int. Symp. Circuits and Systems, pp. 569-572, 1998
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Echo LMS Filter Step size Echo cancellation Adaptive filters