Computer Science ›› 2006, Vol. 33 ›› Issue (11): 243-245.

Previous Articles     Next Articles

FU Wei ,XU Shan-Chuan (Department of Communication & Electronic Engineering of Information Institute,Yanshan University, Qinhuangdao 066004)   

  • Online:2018-11-17 Published:2018-11-17

Abstract: According to the characteristics of random noise wavelet transform on the different scale and the relationship between of noise Lipschitz and its wavelet transform modulus maxima, the orthogonal wavelet threshold de-noising method is explained, and then a

Key words: Wavelet transform,Energy-member,Neyman-pearson criterion, SNR

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!