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Performance Evaluation of Adaptive Filters Structures for Acoustic Echo Cancellation
Sanjeev Kumar Dhull, Sandeep Arya, O.P Sahu
Pages - 208 - 216     |    Revised - 01-05-2011     |    Published - 31-05-2011
Volume - 5   Issue - 2    |    Publication Date - May / June 2011  Table of Contents
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KEYWORDS
AEC, Multiple Sub Filters, LMS
ABSTRACT
We have designed and simulated an acoustic echo cancellation system for conferencing. This system is based upon a least-mean-square (LMS) adaptive algorithm and uses multi filter technique. A comparative study of both structure has been carried out and it is found that this new multi-filter converge faster than similar single long adaptive filter. Index Terms: LMS,Multiple sub filter ,Echo cancellation
CITED BY (6)  
1 Pwint, E. G., Mon, S. S. Y., & Tun, H. M. Design And Simulation Of An Acoustic Echo Cancellation System For Hand-Free Telecommunication.
2 Sahu, K., & Sinha, R. Survey On Acoustic Echo Cancellation Based On Adaptive Filter.
3 Singla, P., Kaur, S., & Singh, S. (2013). A Review on Acoustic Echo Cancellation Techniques. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), 2(11), 2941-2943.
4 Tyagi, R., & Agrawal, D. (2012). Analysis the results of Acoustic Echo Cancellation for speech processing using LMS Adaptive Filtering Algorithm. International Journal of Computer Applications, 56(15).
5 Palmer, J. E., & Searle, S. J. (2012, May). Evaluation of adaptive filter algorithms for clutter cancellation in passive bistatic radar. In Radar Conference (RADAR), 2012 IEEE (pp. 0493-0498). IEEE.
6 Kaur, R., Singh, G., Dhaliwal, B. S., & Gill, S. S. (2012, December). Implementation of modified variable step size least mean square algorithm in LabVIEW. In Computational Intelligence & Computing Research (ICCIC), 2012 IEEE International Conference on (pp. 1-4). IEEE.
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Mr. Sanjeev Kumar Dhull
G.J.U.S&T - India
sanjeev_dhull_ap@yahoo.co.in
Mr. Sandeep Arya
- India
Dr. O.P Sahu
- India