小波分析在微地震信号处理中的应用研究  

Application of wavelet analysis in the processing of micro-seismic signal

作　　者：宋广东[1,2] 刘统玉[1,2] 王昌[1,2] 张贞良[3] 祁海峰[1,2] 王金玉[1,2] 

机构地区：[1]山东省光纤传感技术重点实验室山东省科学院激光研究所,山东济南250014 [2]山东省科学院激光研究所,山东济南250014 [3]山东兖矿集团鲍店煤矿生产技术科,山东济宁273500

出　　处：《山东科学》2011年第3期64-68,74,共6页Shandong Science

基　　金：山东省自主创新成果转化重大专项(2008ZHZX1A0308);山东省科学院科学技术发展计划(鲁科院字[2008]102号)

摘　　要：通过探究小波分析特性选取适合微地震信号处理的基本小波,并以实测微地震信号为例,论述了利用MATLAB小波工具箱成功实现微地震信号处理的过程。利用对称小波函数sym8、启发式阈值选择规则、软阈值函数、5层分解等参数实现了信号的自动去噪,经检验去噪效果良好。通过尺度-频率转换成功绘制出频率-时间-小波系数图和时间频率谱,为分析信号时频同步特性提供了有效手段。We selected an appropriate wavelet basis for the processing of micro-seismic signal by investigating the characteristics of some wavelet bases.We also addressed the process of employing the wavelet toolbox in MATLAB to perform the processing of the measured micro-seismic signal.Sym8 wavelet basis,the heuristic threshold selection rule,soft threshold function and five-layer decomposition were employed to automatically suppress signal noise,which was shown to have better noise suppression effect.We drew a frequency-time wavelet coefficients chart and time-frequency spectrum（TFS） by scale-frequency conversion,which provided an effective approach for analyzing the characteristic of signal time and frequency synchronization.

关 键 词：小波分析 sym8小波 多分辨率 微地震监测 时频谱 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]