小波变换的时频分析及其在实际中的应用  

Wavelet Transform for Time-frequency Analysis and Its Application

作　　者：徐博尧[1] 杨刚[1] 李欣欣[1] 

机构地区：[1]中国传媒大学,北京100024

出　　处：《中国传媒大学学报（自然科学版）》2011年第2期79-83,59,共6页Journal of Communication University of China：Science and Technology

摘　　要：由于小波变换自身的特性,它非常适合对非平稳和时变信号进行分析及处理。本文介绍了小波变换的时频分析,具体将小波变换应用于几个非平稳及时变信号的处理,并将小波变换和其他信号时频分析方法做了比较,得出了小波变换的优势和适用特点,最后给出了小波变换应用于信号去噪的例子。Wavelet transform is quite suitable for non-stationary and time-varying signals processing.This paper introduces wavelet transform for time-frequency analysis and some of its application in non-stationary and time-varying signals processing.Then this paper compares wavelet transform with other ways of signal＇s time-frequency analysis and puts forward the advantages and features of wavelet transform.At last,examples of denoising using wavelet transform is showed.

关 键 词：小波变换 时频分析 小波去噪 

分 类 号：TN911.7[电子电信—通信与信息系统]