Home   >   CSC-OpenAccess Library   >    Manuscript Information
Full Text Available

(124.55KB)
This is an Open Access publication published under CSC-OpenAccess Policy.
Publications from CSC-OpenAccess Library are being accessed from over 74 countries worldwide.
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
MORE INFORMATION
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.
1 Google Scholar 
2 CiteSeerX 
3 refSeek 
4 iSEEK 
5 Scribd 
6 SlideShare 
7 PdfSR 
1 Widrow, B., Stearns, S.D.,“Adaptive Signal Processing,” Englewood Cliffs, NJ: Prentice. Englewood Cliffs, NJ: Prentice. Hall, 2001
2 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
3 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.
4 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.
5 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.
6 Farhang-Boroujeny, B. 1999, Adaptive Filters, Theory and Applications. John Wiley and Sons, New York
7 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.
8 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).
9 Isao Nakanishi and Yuudai Nagata, Yoshio Itoh, Yutaka Fukui, “Single-Channel Speech Enhancement Based on Frequency Domain ALE” ISCAS 2006
10 Michael Hutson, “ Acoustic echo cancellation using DSP”Nov.2003
11 P. M.Clarkson, Adaptive and optimal signal processing, CRC,1993
12 Sophocles J. Orfanidis,Optimum Signal Processing ,Second Edition,2001
13 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
14 V.Umapathi Reddy,Bo Egardt, Thomas Kailath, “Optimized lattice-form Adaptive Line Enhance for a sinusoidal signal in Broad band noise”1981,ieee
15 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
16 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.
17 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.
18 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.
19 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.
20 J. R. Treichler , “Transient and convergent behavior of the ALE,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-27, pp. 53–63, Feb. 1979.
21 Zeidler.,“Adaptive enhancement of multiple sinusoids in uncorrelated noise,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-26, pp. 240–254, June 1978.
22 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.
23 Haykin, S.,Adaptive Filter Theory, Englewood Cliffs, N.J., Prentice-Hall, 1991.
24 Sondhi, M. M., Berkley, D.A.“ Silencing Echoes on the Telephone Network,”Proc. IEEE, Vol. 68, NO. 8, August1980, pp. 948-963.
25 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
26 Brehm, H., Stammler, W. “Description and generation of spherically invariant speechmodel signals”, Signal Processing vol. 12, no. 2, pp. 119–141, March 1987.
27 Moon, T. K., Stirling, W. C. ,Mathematical Methods and Algorithms for Signal Processing, New Jersey, Prentice Hall, 2000.
28 Farhang-Boronjeny, B. ,Adaptive Filters Theory and Application, New York, Wiley, 2000.
29 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
30 Mader.A. Puder, H., Schmidt, G.U, “Step-size control For acoustic cancellation filters”, Signal Process. vol. 80, pp. 1697–1719, 2000.
31 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.
32 Douglas, S. “A family of normalized LMS algorithms”, IEEE signals processing letters, vol. 1, no. 3, pp. 49-51, March1994.
33 R.N.Sharma, A.K.Chaturvedi and G.Sharma, “AEC using multiple subfilter,”Tencon 2003.
34 A.M.Ali, “Multiple subfilter approach for AEC,” Radio Science Conference 2008, Tanta.
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