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Performance Variation of LMS And Its Different Variants
Sanjeev Kumar Dhull, DR .O. P SAHU
Pages - 491 - 496     |    Revised - 30-11-2010     |    Published - 20-12-2010
Published in International Journal of Computer Science and Security (IJCSS)
Volume - 4   Issue - 5    |    Publication Date - December 2010  Table of Contents
MORE INFORMATION
References   |   Cited By (2)   |   Abstracting & Indexing
KEYWORDS
Adaptive, lms, step size, PERFORMANCE, DIIFFERENT VARIANTS, CONVERGANCE
ABSTRACT
Acoustic echo cancellation is an essential and important requirement for various applications such as, telecasting, hands-free telephony and video-conferencing. Echo cancellers are required because of loud-speaker signals are picked up by a microphone and are fed back to the correspondent, resulting in an undesired echo. These days, adaptive filtering methods are used to cancel the affect of these echoes. Different variants of LMS adaptive algorithms have been. Implemented and they are compared based upon their performance according to the choice of step size
CITED BY (2)  
1 Fayed, S., Youssef, S. M., El-Helw, A., Patwary, M., & Moniri, M. (2015). Adaptive compressive sensing for target tracking within wireless visual sensor networks-based surveillance applications. Multimedia Tools and Applications, 1-25.
2 Nayak, C., & Pradhan, S. Adaptive Filtering for Linear System Identification by Different Variants of LMS.
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REFERENCES
Ben Jebara, S., Besbes, H. “A variable step size filtered sign algorithm for acoustic echo cancellation”, IEEEvol. 39(12):936,938, June 2003.
Benesty,J.,Morgan, D. R..Sondhi,,M. M. “A Hybrid Mono/Stereo Acoustic Echo Canceller”, IEEE Trans. Speech Audio Processing.1997.
Brehm, H., Stammler, W. “Description and generation of spherically invariant speech9model signals”, Signal Processing 12(2):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.
Ehtiati, Benoît Champagne,B. “Constrained Adaptive Echo Cancellation for Discrete Multitone Systems”, IEEE transactions on signal processing, 57(1),JANUARY2009
Farhang,Boronjeny, B. “Adaptive Filters Theory and Application”, New York: Wiley, 2000.
Haykin, S “Adaptive Filter Theory”, Englewood Cliffs,N.J., Prentice,Hall, 1991.
Mader.A., Puder, H., Schmidt, G.U. “Step9size control For acoustic cancellation filters, Signal Process”. 80:1697–1719, 2000.
Moon, T. K., Stirling, W. C. “Mathematical Methods and Algorithms for Signal Processing”, New Jersey: Prentice Hall, 2000.
Proakis, J.G., Melonakos, D.G. “Digital Signal Processing Principles, Algorithms and Applications”, Prentice Hall,1996.
Sondhi, M. M., Berkley, D.A. “Silencing Echoes on theTelephone Network”, Proc. IEEE, 68(8): 948,963.,August1980,
Sondhi, M. M., Mitra, D. “New Results on thePerformance of a Well9Known Class of Adaptive filter”,IEEE, 1976, 64(11):1583,1597
Sophocles J. Orfanidis. “Optimum Signal processing An Introduction”, McGraw hill 1988.
Vaseghi,S.“Theory and Application in Speech, Music and Communications”,”Wiley2007.
Widrow, B., Stearns, S.D. “ Adaptive Signal Processing” Englewood Cliffs, NJ: Prentice. Englewood Cliffs, NJ: Prentice. Hall, 2001.
MANUSCRIPT AUTHORS
Mr. Sanjeev Kumar Dhull
G.J.U.S&T - India
Dr. DR .O. P SAHU
N.I.T KURUKSHETRA - India
opsahu@nitkkr.ac.in


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