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Implementation of Adaptive Noise Canceller with Instantaneous Gain  

Lee, Jae-Kyun (대구대학교 정보통신공학과)
Kim, Chun-Sik (대구대학교 정보통신공학과)
Lee, Chae-Wook (대구대학교 정보통신공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.8C, 2009 , pp. 756-763 More about this Journal
Abstract
The Least Mean Square (LMS) algorithm is often used to restore signal corrupted by additive noise. A major defect of this algorithm is that the excess Mean Square Error (EMSE) increases linearly according to speech signal power. This result reduces the efficiency of performance significantly due to the large EMSE around the optimum value. Choosing a small step size solves this defect but causes a slow rate of convergence. The step size must be optimized to satisfy a fast rate of convergence and minimize EMSE. In this paper, the Instantaneous Gain Control (IGC) algorithm is proposed to deal with the situation as it exists in speech signals. Simulations were carried out using a real speech signal combined with Gaussian white noise. Results demonstrate the superiority of the proposed IGC algorithm over the LMS algorithm in rate of convergence, noise reduction and EMSE.
Keywords
ANC; IGC; LMS; EMSE;
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1 Widrow, B., et al., Stationary and Nonstationary Learning Characteristics of the LMS Adaptive Filter, Proc. IEEE, Vol.64, No.8, pp.1151-1162, 1976   DOI   ScienceOn
2 Widrow, Bernard and Samuel D. Srearns, Adaptive signal processing, Englewood Cli ${\circledR}$s, NJ:Prentice Hall,1985
3 Boll, S. F. and D. C. Pulsipher, Suppression of acoustic noise in speech using two microphone adaptive noise cancellation, IEEE Trans. Acoust., Speech, Signal Processing, Vol.ASSP-28, No.6, 1980
4 Maxwell, J. A. and P. M. Zurek, Reducing acoustic feedback in hearing aids, IEEE Trans. Speech Audio Processing, Vol.3, No.4, pp.304- 313, 1995   DOI   ScienceOn
5 Anrikulu, O. and A. G. Constantinides, The LMS algorithm with time-varying forgetting factor for adaptive system identification in additive output noise, ICASSP 96, pp.1851- 1854, 1996
6 Kim, Joonwan and A. D. Poularikas, Comparison of two proposed methods in adaptive noise canceling, IEEE SSST 2003, pp.400-403, 2003
7 Greenberg, J. E., Modified LMS algorithms for speech processing with an adaptive noise canceller, IEEE Trans. Speech Audio Processing, Vol.6, No.4, pp.338-351, 1998   DOI   ScienceOn
8 Ikeda, S. and A. Sugiyama, An adaptive noise canceller with low signal distortion for speech codecs, IEEE Trans. Signal Processing, Vol.47, No.3, pp.665-674, 1999   DOI   ScienceOn
9 Wallace, R. B. and R. A. Goubran, Improved tracking adaptive noise canceller for nonstationary environments, IEEE Trans. Signal Processing, Vol.40, No.30, pp.700-703, 1992   DOI   ScienceOn
10 Ho, K. C., A minimum misadjustment adaptive FIR filter, IEEE Trans. Signal Processing, Vol.44, No.3, pp.577-585, 1996   DOI   ScienceOn
11 Hongyan, C., S. Chongfei, X. Xiaobo, H. Yong and K. D. Luk, Study on Adaptive Noise canceller on Fixed-Point Algorithm for Real-Time Somatosensory Evoked Potential Monitoring, ICBBE 2008, pp.3274-3277, 2008
12 Widrow, B., et al., Adaptive noise canceling: principles and applications, Proc. IEEE, Vol.63, pp.1692-1762, 1975   DOI   ScienceOn
13 Kim, Dai I. and P. De Wild, Performance analysis of the DCT-LMS adaptive filtering algorithm, Signal Processing, Vol.80, No.8, pp.1629-1654, 2000   DOI   ScienceOn
14 Harrison, W. A., J. S. Lim and E. Singer, A new application of adaptive noise cancellation, IEEE Trans. Acoustics, Speech, Signal Processing, Vol.34, No.1, pp.21-27, 1986   DOI
15 Al-Saleh, M. A., Fast tracking two stage adaptive noise canceller, IEEE Region 10 Conference TENCON, pp.606-609, 2004
16 Haykin, S., Adaptive Filter Theory, 4th ed., Upper Saddle River, NJ: Prentice Hall, 2002
17 Liavas, A. P. and D. Tsipouridou, On the performance of the Mismatched MMSE and the LS Linear Equalizers, IEEE Trans. Acoustics, Speech, Signal Processing, Vol.55, No.7, pp.3302-3311, 2007   DOI
18 Delgado, R. E., O. Ozadmar, S. Rahman and C. N. Lopez, Adaptive noise cancellation in a multimicrophone system for distortion product otoacoustic emission acquisition, IEEE Trans. Biomedical Engineering, Vol.47, No.9, pp.1154-1164, 2000   DOI   ScienceOn