文章基本信息

标题：AN INSIGHT INTO ADAPTIVE NOISE CANCELLATION AND COMPARISON OF ALGORITHMS
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作者：M. L. S. N. S. LAKSHMI ; P. MICHAEL PREETAM RAJ ; RAKESH TIRUPATHI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：79
期号：1
出版社：Journal of Theoretical and Applied
摘要：The principle of adaptive noise cancellation is to acquire an estimation of the unwanted interfering signal and subtract it from the corrupted signal. Adaptive Noise Cancellation technique is an approach for powerful noise cancellation. In this paper the noise cancellation is performed using adaptive noise cancellers using an adaptive finite impulse response (FIR) filter are presented for the estimation of a transfer function of a noisy channel in a communication link. Optimizations of the Least Mean Square (LMS) versions and Normalized LMS (NLMS), Weiner algorithms are also used to adapt the filter coefficients of the estimated transfer functions in order to minimize the effect of background noise effectively & analyzed their performances with respect to their estimation of weights.
关键词：Finite Impulse Response Filters (FIR); Infinite Impulse Response Filters (IIR); Least-Mean Square Algorithm (LMS); Normalized Least Mean Square Algorithm (NLMS); WIENER Algorithm