文章基本信息

标题：NOISE SUPPRESSION IN SPEECH SIGNALS USING ADAPTIVE ALGORITHMS
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作者：V.JaganNaveen a ; T.prabakar b ; J.Venkata Suman c 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2010
卷号：3
期号：3
出版社：SERSC
摘要：Adaptive Filtering is a widely researched topic in the present era of communications. When the received signal is continuously corrupted by noise where both the received signal and noise change continuously, then arises the need for adaptive filtering. The heart of the adaptive filter is the adaptive algorithm. This paper deals with cancellation of noise on speech signals using two algorithms-Least Mean Square (LMS) algorithm and Recursive Least Squares (RLS) algorithm with implementation in MATLAB. Comparisons of algorithms are based on SNR and tap weights of FIR filter. The algorithms chosen for implementation which provide efficient performances with less computational complexity.
关键词：LMS; RLS; Adaptive FIR filter; SNR; Gaussian noise.