首页 | 本学科首页   官方微博 | 高级检索  
     

基于自适应阈值的提升小波去噪方法
引用本文:周光祥,杨丹丹.基于自适应阈值的提升小波去噪方法[J].桂林电子科技大学学报,2012,32(2):150-154.
作者姓名:周光祥  杨丹丹
作者单位:桂林电子科技大学 电子工程与自动化学院,广西 桂林,541004
摘    要:鉴于传统的去噪算法中的阈值很难选取到最优值,设计了自适应的阈值选取器,结合最小均方算法和小渡阈值去噪算法,提出了一种基于LMS算法的小波去噪方法.该方法根据LMS算法来自适应地控制阈值参数,并实现提升小波阈值去噪.仿真结果表明,该方法优于传统去噪方法,可较大程度地减少信号中的噪声,提高输出信号的信噪比,能很好地提取有用信号的特征.

关 键 词:提升小波  去噪  自适应

A lifting wavelet de-noising method based on adaptive threshold
Zhou Guangxiang , Yang Dandan.A lifting wavelet de-noising method based on adaptive threshold[J].Journal of Guilin Institute of Electronic Technology,2012,32(2):150-154.
Authors:Zhou Guangxiang  Yang Dandan
Affiliation:(School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,China)
Abstract:In view of difficulty to select the optimal threshold value in the traditional de-noising algorithm,a device was designed,which can adaptively select threshold.A novel de-noising method with adaptive threshold value adjustment was proposed,which using LMS algorithm and threshold de-noising method based on wavelet transform.Using LMS algorithm,the method adaptively controled threshold,and made threshold de-noising base on lifting wavelet.The simulation results show that the method is more better than traditional de-noising method.It can greatly reduce the noise of the signal and improve the signal-to-noise ratio of the output signal,and extract characteristics of the useful signal effectivly.
Keywords:lifting wavelet  de-noising  adaptive
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号