被淹没地震信号的小波熵检测与自动识别方法  

METHOD OF DETECTION BY WAVELET ENTROPY AND IDENTIFICATION AUTOMATICALLY FOR SUBMERGED SEISMIC SIGNAL

作　　者：杨建平[1] 帅晓勇[1] 陶黄林[2] 

机构地区：[1]井冈山大学电子与信息工程学院,江西吉安343009 [2]井冈山大学数理学院,江西吉安343009

出　　处：《井冈山大学学报（自然科学版）》2015年第4期43-48,共6页Journal of Jinggangshan University (Natural Science)

基　　金：国家自然科学基金项目(31260238);江西省自然科学基金项目(20151BAB207063)

摘　　要：为探测大震前的微震,保护大型煤矿、油田和矿山等重要设施,急需地震信号的实时处理、自动识别和提取地震初至点等地震数据处理技术。采用了小波变换和信息熵理论相结合的一种具有多分辨率的复杂度参数——小波熵,该参数能够从被淹没环境中清晰地显示出勘探数据中地震波到达所带来的变化。结合实测数据进行了仿真,并对比了单一的小波变换、数字带通滤波器的监测效果,结果表明小波熵参数能够更好地自动识别微震初至点。In order to detect the micro-seismic before large earthquake, protect the important facilities, such as the large coal, oil, mine and so on. It’s an urgent need for seismic data processing technique, such as real-time process, recognize automatically and extract the submerged seismic onset point. A multi-resolution complexity parameter was acquired based on the wavelet transform and the theory of information entropy, the parameter can clearly shows the change in the exploration data from the arrivals of seismic waves. A simulation was done with the exploration data, Comparison of the monitoring effect of wavelet transform or digital band-pass filter, the results show that the parameter can be very good at the micro seismic onset point for automatic identification.

关 键 词：小波变换 信息熵 FIR带通滤波器 地震波 初至点 

分 类 号：P318[天文地球—固体地球物理学]