›› 2016, Vol. 29 ›› Issue (6): 128-.

• 论文 • 上一篇    下一篇

基于小波变换对信号噪声的处理研究

朱先和,杨世平   

  1. (1.贵州大学 大数据与信息工程学院,贵州 贵阳 550025;2.贵州大学 明德学院,贵州 贵阳 550004)
  • 出版日期:2016-06-15 发布日期:2016-06-22
  • 作者简介:朱先和(1990-),男,硕士研究生。研究方向:信息安全。

Signal Denoising Research Based on Wavelet Transform

ZHU Xianhe,YANG Shiping   

  1. (1.School of Big Date and Information Engineering,Guizhou University, Guiyang 550025, China;
    2.School of Mingde,Guizhou University,Guiyang 550004, China)
  • Online:2016-06-15 Published:2016-06-22

摘要:

采用传统的滤波方法对信号进行消噪时,虽然方法简单,但是以牺牲信号的局部特征为代价,且信号的信噪比并未得到有效地改善。文中采用小波变换的方法对信号进行消噪,将原始信号经小波分解后,信号的小波系数大于噪声的小波系数,再选取一合适阈值,保留高于此阈值的信号小波系数,从而达到消噪的目的。实验结果表明,该方法不仅能有效地去除信号中的噪声,且能保留信号的局部特征。

关键词: 小波变换, 消噪, Matlab仿真

Abstract:

The problem of signal denoising has been concerned by people,When using traditional filtering methods to signal denoising,Although the method is simple,this is based on sacrifice signal local features for price,and did not get a better SNR. In this paper,The thought of wavelet transform be used for signal denoising,After the original signal be decomposed,the wavelet coefficients of signals are greater than noise,select an appropriate threshold,and reserved the signal wavelet coefficients which great than the threshold,then will achieve the purpose of denoising. Experimental results show that this method can not only denoising effectively,but also to preserve the local features of the signal.

Key words: wavelet transform, de , noising; , Matlab simulation

中图分类号: 

  • TN911.7