TRANSLATION-INVARIANT BASED ADAPTIVE THRESHOLD DENOISING FOR IMPACT SIGNAL

被引：4

作者：

Gai GuanghongQu LiangshengSchool of Mechanical Engineering

机构：

来源：

Chinese Journal of Mechanical Engineering | 2004年 / 04期

关键词：

<Keyword>Translation-invariant; Adaptive; threshold; Impact; signal; Denoising; Wavelet; transform;

D O I：

暂无

中图分类号：

TN911 [通信理论];

学科分类号：

081002 ;

摘要：

A translation-invariant based adaptive threshold denoising method for mechanical impact signal is proposed. Compared with traditional wavelet denoising methods, it suppresses pseudo-Gibbs phenomena in the neighborhood of signal discontinuities. To remedy the drawbacks of conventional threshold functions, a new improved threshold function is introduced. It possesses more advantages than others. Moreover, based on utilizing characteristics of signal, a adaptive threshold selection procedure for impact signal is proposed. It is data-driven and level-dependent, therefore, it is more rational than other threshold estimation methods. The proposed method is compared to alternative existing methods, and its superiority is revealed by simulation and real data examples.

引用

页码：552 / 555

页数：4

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