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Cluster Computing

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25-04-2017

Adaptive filtering for intelligent sensing speech based on multi-rate LMS algorithm

Authors: Ranran Liu, Hongxiang Xu, Enxing Zheng, Yifeng Jiang

Published in: Cluster Computing | Issue 2/2017

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Abstract

Adaptive filtering algorithm is one of the most active research topics in signal processing at present. Speech signal processing is the hot issue in the field of digital signal processing. Based on theoretical research of adaptive filter, the work simulated Least mean square error (LMS) adaptive filtering algorithm under different signal-to-noise ratios, spreading to speech signal sequences of different sampling rates. By changing sampling rate factors and filter orders, the work discussed adaptive filtering problems of LMS algorithm under narrowband and broadband interference. Simulation result is consistent with theoretical analysis. With good noise reduction effect, this algorithm is simple and easy to implement.

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Title: Adaptive filtering for intelligent sensing speech based on multi-rate LMS algorithm
Authors: Ranran Liu
Hongxiang Xu
Enxing Zheng
Yifeng Jiang
Publication date: 25-04-2017
Publisher: Springer US
Published in: Cluster Computing / Issue 2/2017
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-0871-y

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