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A Study on Modified IGC Algorithm for Realtime Noise Reduction  

Lee, Chae-Wook (대구대학교 정보통신공학부)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.14, no.2, 2013 , pp. 95-98 More about this Journal
Abstract
The LMS(Least Mean Square) algorithm, one of the most famous, is generally used because of tenacity and high mating spots and simplicity of realization, But it has trade-off between nonuniform collection and EMSE(Excess mean square error). To overcome this weakness, a variable step size is used widely, but it needs a lot of calculation loads. In this paper, we suggest changed algorithm in case of environment changes of cars and reduce amount of calculation as it uses original signal and noise signal of IGC(Instantaneous Gain Control) algorithm. In this paper, logarithmic function is removed because of real-time processing IGC. The performance of proposed algorithm is tested to adaptive noise canceller in automobile.
Keywords
LMS; IGC; EMSE; Automobile;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 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.
2 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
3 Widrow, B., et al., Adaptive noise canceling: principles and applications, Proc. IEEE, vol.63, pp.1692-1762, 1975.   DOI
4 R. H. Kwang and E. W. Johnston, A Variable Step Size LMS Algorithm, IEEE Trans. Signal Processing, vol.40, no.7, pp.1633-1642, 1992.   DOI
5 T. Aboullnasr and K. Mayyas, A Robust Variable Step-Size LMS-Type Algorithm: Analysis and Simulations, IEEE Trans. Signal Processing, vol.45, no.3, pp.631-639, 2007.
6 이채욱. 김춘식, 실시간소음제거를 위한 IGC알고리즘의 Labview 구현, 한국통신학회, vol. 36, no. 3, pp.183-189, 2011.