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信号的多分辨率分析在消噪中的应用
引用本文:冯伟东,孙莹,曲东超,王垚.信号的多分辨率分析在消噪中的应用[J].吉林工学院学报,2007,28(1):101-104.
作者姓名:冯伟东  孙莹  曲东超  王垚
作者单位:[1]长春工业大学机电工程学院,吉林长春130012 [2]秦皇岛港务局,河北秦皇岛066002
摘    要:介绍了小波变换的多分辨分析理论及其在消噪方而的应用.通过分析可知,小波多分辨率分析能够将信号在不同的尺度上展开,具有对信号按频带进行处理的能力.在信号小波分解后,抽取有关频带进行重建,以达到降低噪声、提高信噪比的目的.文中给出了信号多分辨率分析在信号消噪方面的具体应用实例.

关 键 词:小波变换  多分辨分析  消噪  信号消噪  小波多分辨率分析  应用  noise  elimination  analysis  signal  高信噪比  降低噪声  重建  抽取  小波分解  能力  处理  频带  展开  尺度  多分辨分析理论  小波变换
文章编号:1006-2939(2007)01-0101-04
收稿时间:2006-03-14
修稿时间:2006年3月14日

The application of signal multi-resolution analysis in noise elimination
FENG Wei-dong,SUN Ying,QU Dong-chao,WANG Yao.The application of signal multi-resolution analysis in noise elimination[J].Journal of Jilin Institute of Technology,2007,28(1):101-104.
Authors:FENG Wei-dong  SUN Ying  QU Dong-chao  WANG Yao
Institution:1. Sehool of Meehatronie Engineering, Changehun University of Technology, Changehun 130012, China 2. Qinhuangdao harbor bureau, Qinhuangdao 066002, China
Abstract:he multi-resolutions analysis theory of wavelet transformation and its application in noise elimination is introduced here. Through the analysis, the signal can be developed in different scale and processed at different frequency. After being decomposed by the wavelet, the signal at tbe related frequency band is abstracted and rebuilt, so as to decrease or eliminated the noise and the S/N is improved. The detailed examples are given in the paper.
Keywords:wavelet transformation  multi-resolutions analysis  noise elimination
本文献已被 CNKI 维普 万方数据 等数据库收录!
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