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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
AEC, Multiple Sub Filters, LMS
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.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 iSEEK 
5 Scribd 
6 SlideShare 
7 PdfSR 
A.M.Ali, “Multiple subfilter approach for AEC,” Radio Science Conference 2008, Tanta.
Ben Jebara, S., Besbes, H. ,“A variable step size filtered sign algorithm for acoustic echo cancellation,” IEEEvol. 39, no. 12, pp. 936-938, June 2003.
Brehm, H., Stammler, W. “Description and generation of spherically invariant speechmodel signals”, Signal Processing vol. 12, no. 2, pp. 119–141, March 1987.
Brennan, R., Schneider. , “A flexible filter bank Structure for extensive signal manipulation in digital Hearing aids,”Proc.IEEE Int. Symp. Circuits and Systems, pp. 569-572, 1998
D. W. Tufts, L. J. Griffiths, B. Widrow, J. Glover, J. McCool, and J.Treichler , “Adaptive Line Enhancement and Spectrum Analysis," Proceedings of the IEEE, Letter, pp. 169, January 1977.
Douglas, S. “A family of normalized LMS algorithms”, IEEE signals processing letters, vol. 1, no. 3, pp. 49-51, March1994.
F T.Aboulnasr, K. Mayyas, "A Robust Variable Step-size LMS Type Algorithm: Analysis andSimulations," IEEE Trans. on signal processing,vol.45, No.3, pp. 631-639, March 1997
Farhang-Boronjeny, B. ,Adaptive Filters Theory and Application, New York, Wiley, 2000.
Farhang-Boroujeny, B. 1999, Adaptive Filters, Theory and Applications. John Wiley and Sons, New York
G. R. Elliott and S. D. Stearns, “The Adaptive Line Enhancer applied to chirp detection,” IEEE International Symposium on Circuits and Systems, vol. 2, pp. 1319-1322, 1990.
GUO Yemi and ZHAO Junwei, “Combined Kurtosis Driven Variable Step Size Adaptive Line Enhancer,” 2004 8th International Conference on Control, Automation, Robotics and Vision Kunming. China, 6-9th December 2004.
Haykin, S.,Adaptive Filter Theory, Englewood Cliffs, N.J., Prentice-Hall, 1991.
Isao Nakanishi and Yuudai Nagata, Yoshio Itoh, Yutaka Fukui, “Single-Channel Speech Enhancement Based on Frequency Domain ALE” ISCAS 2006
J. R. Treichler , “Transient and convergent behavior of the ALE,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-27, pp. 53–63, Feb. 1979.
J. Treichler, "Transient and convergent behavior of the adaptive line enhancer," ieee Trans. Acoust., Speech, Signal Processing, Vol. ASSP-27, No. 1, pp. 53-63, February 1979.
Jafar Ramadhan Mohammed,“A New Simple Adaptive Noise Cancellation Scheme Based On ALE and NLMS Filter,” Fifth Annual Conference on Communication Networks and Services Research (CNSR'07) ieee-2007.
Mader.A. Puder, H., Schmidt, G.U, “Step-size control For acoustic cancellation filters”, Signal Process. vol. 80, pp. 1697–1719, 2000.
Michael Hutson, “ Acoustic echo cancellation using DSP”Nov.2003
Moon, T. K., Stirling, W. C. ,Mathematical Methods and Algorithms for Signal Processing, New Jersey, Prentice Hall, 2000.
Mounir Ghogho, Mohamed Ibnkahla, and Neil J. Bershad, “Analytic Behavior of the LMS adaptive Line Enhancer for Sinusoids Corrupted by Multiplicative and Additive Noise,” Ieee transactions on signal processing,vol.46,no.9,sept.
Mukund Padmanabhan, “ A Hyper-stable Adaptive Line Enhancer for Fast Tracking of Sinusoidal Inputs,” ieee transactions on circuits and systems of analog and digital signal processing, vol44-april 1996
N. J. Bershad and O. Macchi, “Adaptive recovery of a chirped sinusoid in noise Performance of the LMS algorithm,” IEEE Trans. Signal Processing, vol. 39, pp. 595–602, Mar. 1991.
Naoto Sasaoka, Koji Shimada, Shota Sonobe, Yoshio Itoh and Kensaku Fujii ,“Speech enhancement based on adaptive filter with variable step size for wideband and periodic noise” 2009 ieee
Naoto Sasaokal, Yoshio Itohl, Keiichi Wakizaka and Kensaku Fujii, “ A study on less computational load of noise reduction method based on noise reduction method based on Ale and noise estimation filter,” Proceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, December 13-16, 2005.
P. M.Clarkson, Adaptive and optimal signal processing, CRC,1993
R.N.Sharma, A.K.Chaturvedi and G.Sharma, “AEC using multiple subfilter,”Tencon 2003.
Rickard and J. R. Zeidler, "Second-order output statistics of the adaptive line enhancer," IEEE Trans. Acoust., Speech, Signal Processing, Vol. ASSP-27, no. 1, pp. 31-39, February 1979.
Sondhi, M. M., Berkley, D.A.“ Silencing Echoes on the Telephone Network,”Proc. IEEE, Vol. 68, NO. 8, August1980, pp. 948-963.
Sondhi, M. M., Mitra, D. ,“New Results on the Performance of a Well-Known Class of Adaptive filter”, IEEE, 1976, Vol. 64, No. 11, pp. 1583-1597
Sophocles J. Orfanidis,Optimum Signal Processing ,Second Edition,2001
Toshihiro Miyawaki, Naoto Sasaoka, Yoshio Itoh, Kensaku Fujiit and Sumio Tsuiki ,“A Study on Pitch Detection of Sinusoidal Noise for Noise Reduction System,” 2006 international Symposium on Intelligent Signal Processing and Communication Systems (ISPACS2006).
V.Umapathi Reddy,Bo Egardt, Thomas Kailath, “Optimized lattice-form Adaptive Line Enhance for a sinusoidal signal in Broad band noise”1981,ieee
Widrow, B., Stearns, S.D.,“Adaptive Signal Processing,” Englewood Cliffs, NJ: Prentice. Englewood Cliffs, NJ: Prentice. Hall, 2001
Zeidler.,“Adaptive enhancement of multiple sinusoids in uncorrelated noise,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-26, pp. 240–254, June 1978.
Mr. Sanjeev Kumar Dhull
G.J.U.S&T - India
Mr. Sandeep Arya
- India
Dr. O.P Sahu
- India

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