›› 2012, Vol. 25 ›› Issue (11): 15-.

• Articles • Previous Articles     Next Articles

An Improved Method for Wavelet Threshold Signal Demonizing

 ZHANG Xiao-Ning, SUN Li-Jun   

  1. (1.College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China;
    2.College of Electrical Engineering,Henan University of Technology,Zhengzhou 450001,China)
  • Online:2012-11-15 Published:2013-01-23

Abstract:

In order to improve the filtering effect and the quality of denoising,this paper proposes a new denoising method for wavelet threshold signal processing.The method combines the characteristics of soft and hard threshold and optimizes the parameters for better threshold estimation.Through Matlab simulation,the proposed algorithm is compared with the traditional wavelet threshold,which shows that the proposed algorithm had better denoising effect and stability.

Key words: wavelet denoising threshold;threshold function;SNR;mean square error

CLC Number: 

  • TP391.9