首页 | 本学科首页   官方微博 | 高级检索  
     

第2代小波变换算法的改进及应用
引用本文:吴彦华,钟子发,蔡卫东.第2代小波变换算法的改进及应用[J].数据采集与处理,2005,20(3):281-285.
作者姓名:吴彦华  钟子发  蔡卫东
作者单位:1. 解放军电子工程学院702室,合肥,230037
2. 江西九江713厂开发院,九江,332005
摘    要:在阐述第2代小波变换基本原理及特点的基础上,将最优插值估计引入到预测器设计中,提出了第2代小波变换算法的改进算法.为了验证改进算法的效果,本文将它应用到信号的去噪处理中,并将其去噪效果与第2代小波变换的去噪效果和传统小波变换的去噪效果进行了比较,结果表明,用第2代小波变换改进算法去噪具有更好的性能.

关 键 词:第2代小波变换  预测器  去噪  改进算法
文章编号:1004-9037(2005)03-0281-05
收稿时间:2004-10-24
修稿时间:2005-04-10

Improvement and Application of Second Generation Wavelet Transform Algorithm
WU Yan-hua,ZHONG Zi-fa,CAI Wei-dong.Improvement and Application of Second Generation Wavelet Transform Algorithm[J].Journal of Data Acquisition & Processing,2005,20(3):281-285.
Authors:WU Yan-hua  ZHONG Zi-fa  CAI Wei-dong
Abstract:According to the theory of the second generation wavelet transform, the improved algorithm is proposed and the optimum-interval interpolation estimation is used to design the predictor. To verify the effectivity of the improved algorithm, it is applied in the noise reduction. Results of the noise reduction by using the improved algorithm are compared with results of second generation wavelet transform and the traditional wavelet transform. The improved algorithm is proved to be effective in the noise reduction.
Keywords:second generation wavelet transform  prediction  de-noise  improved algorithm
本文献已被 CNKI 维普 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