小波变换及其在信号分析中的应用  

Wavelet Transform and Its Applications in the Signal Analysis

作　　者：韩世勤[1] 张玉芬[1] 

机构地区：[1]中国地质大学应用地球物理系

出　　处：《中南民族学院学报（自然科学版）》1996年第4期86-91,共6页Journal of South-Central University for Nationalities(Natural Sciences)

摘　　要：将Ｍａｌａｔ算法应用于信号的分析与处理，根据实际问题的需要，对某些频带成分进行特殊处理，然后再用这些处理后的信号成分进行信号重构。Wavelet analysis is a rapidly developing area in the mathematical sciences which is emerging as an independent field of investigation. Its major superiorities liein good localization property in both time domain and frequency domain. Application of it to signal analysis has good prospects. The Mallat algorithm characterized by the simple design and fast caculation speed has been widely applied to the wavelet analysis, and wavelet decomposition characteristic is used to decompose signal into different frequency band components in line with different frequency bands. Then some frequency band components can be special processed according to need of the actual problem. At last, the signal components thus processed can be restructured, so that the processed signal to meet needs of the actual problem may be obtained.

关 键 词：小波变换 傅里叶分析 信号分析 MALLAT算法 

分 类 号：O174.22[理学—数学] TN911.6[理学—基础数学]