小波分析及其在时变滤波和信号分离中的应用  

Wavelet Analysis and its Applications in Time-varying Filtering and Signal Separation

作　　者：余厚全[1] 刘益成[1] 王慎中 

机构地区：[1]江汉石油学院地球物理勘探系

出　　处：《江汉石油学院学报》1993年第4期26-31,共6页Journal of Jianghan Petroleum Institute

摘　　要：利用小波变换具有的多时频分辨率特性,对地震勘探和测井信号这类非平稳信号进行分析,可以充分利用信号的时间一频率特性。文中介绍了小波变换的基本概念及其在地震勘探信号的时变滤波和声波全波列测井信号的信号分离中的应用,实例表明,小波变换在地球物理信号处理中具有广阔的应用前景。Wavelet Transformation (WT) is a newly developed time-frequency domain analysis method, it has multiresolution time-frequency character Using WT to analysis seismic exploration signal and well-logging signal which are nonstationary, their time-frequency information of signals can be used fully This paper describes the basic concept of WT and its applications in time-varying filtering of seismic exploration signal and full waveform acoustic logs signal seperation The results of practical applications show that it is a promising method to apply WT in geophysical signal processing.

关 键 词：信息处理 地震滤波 声波测井 

分 类 号：P631.814[天文地球—地质矿产勘探]