|本期目录/Table of Contents|

[1]张 岩,杨智刚,魏 泰.一种改进的小波阈值去噪算法[J].工业仪表与自动化装置,2015,(04):95-97.
　ZHANG Yan,YANG Zhigang,WEI Tai.A improved method for wavelet threshold denoising[J].Industrial Instrumentation & Automation,2015,(04):95-97.
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一种改进的小波阈值去噪算法(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2015年04期
页码:
95-97
栏目:
出版日期:
2015-08-15

文章信息/Info

Title:
A improved method for wavelet threshold denoising
文章编号:
1000-0682(2015)04-0000-00
作者:
张 岩; 杨智刚; 魏 泰
（甘肃省特种设备检验研究院，兰州 730020）
Author(s):
ZHANG Yan;  YANG Zhigang;  WEI Tai
(Gansu Special Equipment Inspection and Research Institute, Lanzhou 730020, China)
关键词:
小波变换; EMD分解; SVD分解; 差分谱; 微弱信号提取
Keywords:
wavelet transform;  EMD decomposition;  SVD decomposition;  difference spectrum;  weak single extraction
分类号:
TP206.3
DOI:
-
文献标志码:
A
摘要:
针对传统小波阈值去噪算法中阈值选取困难，提出一种新的小波-EMD-SVD差分谱组合模式。对原始信号做小波分解得到一系列细节信号，不再通过小波阈值将强噪声小波系数简单地置零，而是对其进行EMD-SVD差分谱微弱信号提取，最后进行重构。实验结果表明，该算法对强噪声环境下信号的去噪效果明显且平稳。
Abstract:
For the difficulty of selecting threshold value in the traditional wavelet threshold denoising method,a new type of wavelet-empirical model decomposition (EMD)-singular value decomposition (SVD) is proposed. An original signal is decomposed by wavelet transform and a group of detail signals are obtained, however, heavy noise Wavelet coefficients are not simply set to zero by wavelet threshold any more, whereas these heavy noise wavelet coefficients are used to EMD and SVD difference spectrum decomposing and extracts the weak signal. Finally reconstructs the single. The result indicates that the denoising effects are obvious and smooth in heavy noise surrounding.

参考文献/References:

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[2] 胡广书.现代信号处理教程[M].北京:清华大学出版社,
[3] 张超,陈建军,徐亚兰.基于EMD分解和奇异值差分谱理论的轴承故障诊断方法[J].振动工程学报,2010,24(5): 539-545.─3cdiv>[4] Zhao Xue-zhi,Ye Bang-yan.Selection of effective singular values using difference spectrum and its appli -cation to fault diagnosis of headstock [J]. Mechanical Systems and Signal Processing, 2011,25(5):1617-16 31.
[5] 赵学智,叶彦邦,陈统坚.基于小波-奇异值分解差分谱的弱故障特征提取方法[J].机械工程学报,2012,48(7):37-48.
[6] 周光祥,杨丹丹.基于自适应阈值的提升小波去噪方法[J].桂林电子科技大学学报,2012,32(2):150-154.
[7] 陈晓曦,王延杰,刘恋.小波阈值去噪法的深入研究[J].激光与红外,2012,42(1):105-110.
[8] Jsa S K,Yadava R D S.Denoising by singular value decomposition and its application to electronic nose data processing[J].Sensors Journal,IEEE,2011,11(1):35-44.

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备注/Memo

备注/Memo:
收稿日期：2014-05-19
作者简介：张岩（1982），男，甘肃兰州人，硕士，工程师，主要从事电梯、起重机械、场内机动车辆等机电类特种设备检验工作。
更新日期/Last Update: 1900-01-01