Acoustic Echo Cancellation using Computationally Efficient Adaptive Algorithm Techniques

Authors

  • Mastan Sharif Shaik Lakireddy Balireddy college of Engineering
  • K. Satya Prasad Lakireddy Balireddy college of Engineering
  • Rafi Ahamed Shaik Lakireddy Balireddy college of Engineering
  • D. Venkata Rao Lakireddy Balireddy college of Engineering

DOI:

https://doi.org/10.34306/csit.v1i2.45

Keywords:

LMS, Acoustic echo cancellation, Mean-Square Error

Abstract

Several sign based LMS adaptive filters, which are computationally free having multiplier free weight update loops, are proposed for acoustic echo cancellation. The adaptive filters essentially minimizes the mean- squared error between a primary input, which is the echo, and a reference input, which is either echo that is correlated in some way with the echo in the primary input. The results show that the performance of the signed regressor. LMS algorithm is superior than conventional LMS algorithm, the performance of signed LMS and sign- sign LMS based realizations are comparable to that of the LMS based filtering techniques in terms of Average Attenuation and computational complexity.

Downloads

Download data is not yet available.

References

[1] M.M.Sondhi, An adaptive echo canceller, Bell System technical journal, XLVI (3), 497-510, March (1967).
[2] Ioana Homana, Marina Dona Topa, Botand Sandor Kirei-Echo Cancellation Using Adaptive Algorithms- IEEE
9781-1-4244-50330309-2009
[3] Tiange Shao, Rosa Zheng and Jacob Benesty, A variable step-size normalized sign algorithm for Acoustic Echo
Cancellation, IEEE, 978-1-4244-4296, 2010.
[4] Vojko Pohor and Alberto Cairini, A variable step-size control of adaption for acoustic echo cancellation filters,
Wiley On Line Library, European Transactions on Telecommunications,vol.13,issue.2,sep 2008.
[5] Peter Heitkamper, An adaption control for Acoustic Echo Cancellers, IEEE, Vol.4, No.6, June 1997.
[6] Cristina Gabriela Sarachin et al, Echo cancellation using the LMS algorithm,U.P.B Sci Bull series C, Vol.
71,Issue.4, 2009.
[7] John F.Doherty and Rajiv Porayath, A Robust Echo canceller for Acoustic Environments, IEEE, Vol. 44,
No.5,May 1997.
[8] Peter Eneroth, Jacob Benesty et al, State of the art of Stereophonic Acoustic Echo Cancellation, Research Gate.
[9] Widrow et al, Stationary and non stationary characteristics of the LMS adaptive filter, IEEE, Vol.64, No.8,
August (1976).
[10] Christiane Antweiler et al, Approximation of optimum step-size control for Acoustic Echo cancellation, IEEE,
0-8186-7919-0/97, 1997.
[11] Kousik Ghose, V. Umapathi Reddy, A double talk detector for acoustic echo cancellation applications,
ELSEVIER, Signal Processing 80(2000) 1459-1467.
[12] Farhang Boroujeny- Fast LMS/Newton Algorithms based Autoregressive modeling and their applications to
Acoustic Echo cancellation - IEEE Transactions and Signal Processing, Vol 45, No.8, August 1997.
[13] A.Zerguine, C.F.N.Cowan and M.Bettayeb- Adaptive Echo Cancellation Using Least Mean Mixed Norm
Algorithm-IEEE 1053-587X/97- 1997.
[14] M.Chakraborty, Rafi Ahamed Shaik and Moon Ho Lee, A Block Floating Point based Realization of the Block
LMS algorithm, IEEE, Vol.53, No.9, September, 2006.
[15] MZU Rahaman, Rafi Ahamed Shaik and D.V.Rama Koti Reddy, Efficient sign based normalized adaptive
filtering techniques for cancellation of artifacts in ECG signals: Application to wireless biotelemetry,
ELSEVIER, Signal Processing 91(2011) 225-239.
[16] B.Farhang Boroujeny- Adaptive Filters Theory and Applications, John Wiley & Sons- 2000.
[17] Haykin Simon- Adaptive Filter Theory, Prentice Hall International Inc-1986.

Downloads

Published

2016-06-08

How to Cite

Shaik, M. S., Prasad, K. S., Shaik, R. A., & Rao, D. V. (2016). Acoustic Echo Cancellation using Computationally Efficient Adaptive Algorithm Techniques. APTIKOM Journal on Computer Science and Information Technologies, 1(2), 57–62. https://doi.org/10.34306/csit.v1i2.45

Issue

Section

Articles