De-noising of spectral signal based on stationary wavelet transform - 文章详情页

作者：

Xu, Zhe (Xu, Zhe.) | Zhang, Di (Zhang, Di.)

收录：

EI Scopus

摘要：

In　order　to　effectively　alleviate　the　effect　of　noise　in　spectral　signal,　stationary　wavelet　is　applied　to　process　the　spectral　signal　in　this　paper.　The　simulation　result　of　stationary　wavelet　transform　and　classic　wavelet　transform　on　wheat　canoy　and　rice　canoy　respectively　show　that　both　wavelet　are　effective　in　alleviating　the　effects　of　noise,　while　stationary　wavelet　gets　a　better　SNR　and　reserves　character　of　signal.　©　2011　IEEE.

关键词：

Signal to noise ratio Signal denoising Wavelet transforms

作者机构：

[ 1 ] [Xu, Zhe]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Zhang, Di]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

通讯作者信息：

查看成果更多字段

Study of wavelet threshold denoising based on empirical mode decomposition
2007，Journal of Beijing University of Technology
Noise reduction for low-field pulsed NMR signal via stationary wavelet transform
2007，2007 8th International Conference on Electronic Measurement and Instruments, ICEMI
Plate-like structure health monitoring based on ultrasonic guided wave technology by using bonded piezoelectric ceramic wafers
2009，International Conference on Experimental Mechanics 2008, ICEM 2008
Application of wavelet denoise in defect inspection of steel strands
2008，Chinese Journal of Mechanical Engineering

来源：

年份： 2011

页码： 3098-3101

语种：中文

被引次数：

WoS核心集被引频次： 0

SCOPUS被引频次： 4

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信息学部

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