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小波变换及其在信号去噪中的应用
引用本文:蒲会兰,丁世文,鲁怀伟,吴六爱,杨喜娟.小波变换及其在信号去噪中的应用[J].现代电子技术,2012,35(19):52-55.
作者姓名:蒲会兰  丁世文  鲁怀伟  吴六爱  杨喜娟
作者单位:1. 兰州交通大学数理与软件工程学院,甘肃兰州,730070
2. 兰州交通大学环境与市政工程学院,甘肃兰州,730070
基金项目:甘肃省自然科学基金资助项目(1010RJZA069)
摘    要:介绍了小波变换理论及基于小波变换去除信号噪声的基本原理和方法.研究利用小波变换技术对噪声进行阈值处理和去除非平稳信号的噪声,并应用Matlab软件实现了小波去噪的计算机仿真,仿真结果表明小波变换去除噪声的效果优于传统的Fourier变换.

关 键 词:小波变换  阈值  信号去噪  非平稳信号

Wavelet transform and its application in signal denoising
PU Hui-lan , DING Shi-wen , LU Huai-wei , WU Liu-ai , YANG Xi-juan.Wavelet transform and its application in signal denoising[J].Modern Electronic Technique,2012,35(19):52-55.
Authors:PU Hui-lan  DING Shi-wen  LU Huai-wei  WU Liu-ai  YANG Xi-juan
Affiliation:1(1.School of Mathematics,Physics and Software Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China; 2.School of Environmental and Municipal Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
Abstract:The paper introduces wavelet transformation and the basic theory and method of signal denoising based on wavelet transformation.Wavelet transform technology is adopted for threshold processing of noise and removing noise in the unsteady signals.And the computer simulation of signal denoising based on wavelet is done using Matlab.The results indicates that the effect of signal denoising based on wavelet transform is better than that of signal denosing based on the Fourier transform.
Keywords:wavelet transform  threshold  signal denoising  unsteady signal
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