›› 2016, Vol. 29 ›› Issue (6): 128-.

• Articles • Previous Articles     Next Articles

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

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

CLC Number: 

  • TN911.7