Wavelet Threshold Denoising Algorithm Based on Improved Wavelet Threshold Function
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Aiming at the insufficience of traditional wavelet soft and hard threshold functions and some of the threshold functions in existing literatures, and to propose an improved wavelet threshold denoising algorithm. A new threshold function is presented, which has better smoothness and changes with the changes of wavelet decomposition scale, so it has good adaptability. Besides, it improves denoising stability as a result of that there is no uncertain parameters in the function. Compared with traditional soft and hard threshold functions, that uses of the improved threshold function denoising, signals' SNR and MSE are better. Wavelet threshold denoising based on improved wavelet threshold shows an excellent effect, which has good promotional value.

    Reference
    Related
    Cited by
Get Citation

朱伟华,安伟,尤丽华,吴静静.基于改进阈值函数的小波阈值去噪算法.计算机系统应用,2016,25(6):191-195

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:October 23,2015
  • Revised:November 25,2015
  • Adopted:
  • Online: June 14,2016
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063