Adaptive Filter With NLMS Algorithm For Echo Cancellation
Dhanashri M Kadakane
Dept. of Electronics Engineering, Dr. J. J. Magdum College Of Engineering, Jaysingpur, Kolhapur, India
Prof. A. P. Patil
Dept. of Electronics Engineering, Dr. J. J. Magdum College Of Engineering, Jaysingpur, Kolhapur, India
56-65
Vol: 8, Issue: 1, 2018
Receiving Date:
2017-12-24
Acceptance Date:
2018-01-24
Publication Date:
2018-02-08
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Abstract
With the increasing demand for mobile, wireless communication and telephony became very popular, as it is very easy to use and flexible. But in telecommunication echo problem may encounter which degrades the audio quality. Echo is very annoying problem if it occurs it reduces voice quality. It is quite difficult to remove echo completely but it can be minimized. To overcome this problem many echo cancellers are available from that adaptive filters are one of the best solutions. This paper aims for studying the performance of typical sparse algorithms for echo and noise cancellation. Simulation results using noise, echo and speech input signal shows better performance of proposed algorithms. The proposed algorithm NLMS achieve these improvements. This paper has propose echo and sparse (noise) cancellation that has been tested and verified by MATLAB.
Keywords:
Echo cancellation; Noise; Adaptive filter; Adaptive algorithm; MSE; ERLE; AEC; AIR; NPM
References
- J. Radecki, Z. Zilic, and K. Radecka, “Echo cancellation in IP networks,” in Proc. 45th Midwest Symp. Circuits Syst., 2002, vol. 2, pp. 219–222.
- D. L. Duttweiler, “Proportionate normalized least mean square adaptation in echo cancellers,” IEEE Trans. Speech Audio Process., vol. 8, no. 5, pp. 508–518, Sep. 2000.
- W. H. Khong, J. Benesty, and P. A. Naylor, stereophonic acoustic echo cancellation: Analysis of the misalignment in the frequency domain,” IEEE Signal Process. Lett., vol. 13, no. 1, pp. 33–36, Jan. 2006.
- H. Deng and M. Doroslovacki, “Wavelet-based MPNLMS adaptive algorithm for network echo cancellation,” EURASIP J. Audio, Speech, Music Process. 2007.
- R. H. Kwong and E. Johnston, “A variable step size LMS algorithm,” IEEE Trans. Signal Process., vol. 40, no. 7, pp. 1633–1642, Jul. 1992.
- Rusu and F. N. Cowan, “The convex variable step size (CVSS) algorithm,” IEEE Signal Process. Lett., vol.7, no. 9, pp. 256–258, Sep.2000.
- J. Sanubari, “A new variable step size method for the LMS adaptive filter,” in Proc. IEEE Asia-Pacific Conf. Circuits Syst., 2004, pp. 501–504.
- Schnaufer and W. K. Jenkins, “New data-reusing LMS algorithms for improved convergence,” in Proc. 27th Asilomar Conf. Signals, Syst., Comput., 1993, pp. 1584–1588.
- K. A. G. Robert, A. Soni, and W. K. Jenkins, “Low-complexity data reusing methods in adaptive filtering,” IEEE Trans. Signal Process., vol. 52, no. 2, pp. 394–405, Feb. 2004.
- W. H. Khong and P. A. Naylor, “Selective-tap adaptive algorithms in the solution of the non-uniqueness problem for stereophonic acoustic echo cancellation,” IEEE Signal Processing Lett., vol. 12, no. 4, pp. 269–272, Apr. 2005.
- J. Benesty and S. L. Gay, “An improved PNLMS algorithm,” in Proc. IEEE Int. Conf. Acoustics Speech Signal Processing, vol. 2, 2002, pp. 1881–1884.
- G. Egelmeers, P. Sommen, and J. de Boer, “Realization of an acoustic echo canceller on a single DSP,” in Proc. Eur. Signal Processing Conf. (EUSIPCO96), Trieste, Italy, pp. 33–36, Sept. 1996.
- Deshpande and S. L. Grant, “A new multi-algorithm approach to sparse system adaptation,” in Proc. Eur. Signal Process. Conf., 2005.
- Andy W.H. Khong and Patrick A. Naylor “Efficient Use Of Sparse Adaptive Filters” Department of Electrical and Electronic Engineering, Imperial College London.
- Radhika Chinaboina, D.S.Ramkiran, Habibulla Khan, M.Usha, B.T.P.Madhav, K.Phani Srinivas & G.V.Ganesh , “Adaptive Algorithms For Acoustic Echo Cancellation In Speech processing”Vol7Issue1/ IJRRAS_7_1_05
- S. Haykin, Adaptive Filter Theory, 4th edition, Information and System Sciences series. Prentice Hall, 2002.
- P. Loganathan, A. W. H. Khong, and P. A. Naylor, “A Class of sparseness controlled algorithm for echo cancellation,” in Proc. Eur. Signal Process. Conf. (EUSIPCO), Lausanne, Switzerland, NOV.2009.
- Meenal Mahajan, Ranjit Kaur, “A Comparative Study of Acoustic Echo Cancellation Algorithms in Sparse Impulse Response”, Int. Journal of Engineering Research and Applications www.ijera.com ISSN : 2248-9622, Vol. 5, Issue 1, ( Part -6) January 2015, pp.60-63
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