Study and Improving on Adaptive Filter

被引:0
作者
Pan Hongxia [1 ]
Zhang Yingying [1 ]
机构
[1] N Univ China, Sch Mech Engn & Automat, Taiyuan, Peoples R China
来源
FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6 | 2012年 / 121-126卷
关键词
Adaptive filter; CTanh-LMS algorithm; adaptive noise cancellation; feature extraction;
D O I
10.4028/www.scientific.net/AMM.121-126.1392
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper the principle of adaptive filter and various least mean square (LMS) adaptive filter algorithm is studied, based on the related hyperbolic tangent function LMS algorithm is presented, referred to as CTanh-LMS algorithm. Simulation results show that, compared with other adaptive filter algorithm, this method has better denoising ability, and the algorithm is simple, fast convergence rate, and can satisfy the gearbox vibration signal denoising requirements. The proposed algorithm can not only solve the gearbox fault feature extraction, and give adaptive filter algorithm research provides a new means, has important theoretical significance and practical value.
引用
收藏
页码:1392 / 1396
页数:5
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