用小波包识别地震和矿震

英文篇名：A Wavelet Packet Approach to Wave Classification of Earthquakes and Mining Shocks
中文刊名：中国地震
英文刊名：Earthquake Research in China
作者：和雪松 ; 李世愚 ; 沈萍 ; 冯全雄
英文作者：He Xuesong~ 1) Li Shiyu~ 1) Shen Ping~ 1) Feng Quanxiong~ 2) 1) Institute of Geophysics ; CEA ; Beijing 100081 ; China2) China University of Geosciences ; Beijing 100083 ; China
中文关键词：小波包 ; 识别 ; 地震 ; 矿震
英文关键词：Wavelet Packet Classification Earthquake Mining shocks
出版日期：2006-12-30
机构：中国地震局地球物理研究所,中国地震局地球物理研究所,中国地震局地球物理研究所,中国地质大学北京市海淀区民族大学南路5号100081,北京市海淀区民族大学南路5号100081,北京市海淀区民族大学南路5号100081,北京100083
年：2006
期：04
出版单位：中国地震

摘要

在能检测到天然地震和矿震的区域,这两类地震的快速识别无论对于区域台网和矿区台网都具有现实意义。这两类震动都是非稳态信号,用传统的Fourier变换不能提取出信号的特征信息,小波包分析方法却能很好提取出信号的特征信息。本文提供了一种基于非参数识别算法,即把信号变换到频域,然后再用奇异值分解作为统计工具,提取出信号的特征信息,作为识别天然地震和矿震的识别因子。以辽宁抚顺2001年1月1日到2003年6月30的18个矿震和16个天然地震,以及北京门头沟2001年1月1日到2002年12月31日的15个矿震和14个天然地震为样本,提取出识别因子。最后,用其它的天然地震和矿震资料检验了识别因子的识别率。
Signal possessing of non-stationary information are not suited for detection and classification by traditional Fourier methods. An alternate means of analysis needs to be employed so that valuable time-frequency information can be extracted. The Wavelet Packet Transform (WPT) is such a time-frequency analysis tool. It describes an approach to signal classification that may satisfy the need of a non-parametric feature extraction algorithm that best adapts to sets of pre-classified data. There are 18 mining shocks and 16 earthquake recorded by three-component seismographs in the seismic network in Liaoning Province from Jan. 1, 2000 to June 30, 2003 and 15 mining shocks and 14 earthquakes recorded by three-component seismographs in the seismic network in Huabei from Jan 1, 2000 to Dec 31, 2002. Using the WPT method, a parsimonious set of features is determined from above mining shocks and earthquake data. Finally, the feature set is tested by signals in the waves of many mining shocks and earthquakes.

引文

杨福生,1999,小波变换的工程分析与应用,北京,科学出版社。
    张萍、高艳玲、肖健等,2001,辽宁台网记录爆破、矿震与地震的识别,地震地磁观测与研究,22(5):29~34。
    赵永、刘卫红、高艳玲,1995,北京地区地震、爆破和矿震的记录图识别,地展地磁观测与研究,16(4):48~54。
    郑治真、沈萍、杨选辉等,2001,小波变换及其Matlab工具的应用,北京:地震出版社。
    Dauhechies,I.,1988,Orthonormal bases of compactlysupported wavelets,Commun.On Pure and Appl.Math.,Vol.XLI,901~996.
    Grossmann,A.andJ.Morlet,1984,Decompositionof Hardyfunctionsintosquareintegrable wavelets of constant shape,SIAMJ.Math.Anal.15(4),723~736.
    Mallat.S.,1989,Atheoryfor multiresolution signal decomposion:the wavelet represention,IEEEtrans.on Pattern Anal.and Mach.Intel.,11(7),674~793.
    Morlet,J.,Arens G.,Fourgeau E.,et al,1982a,Wave propagation and Sampling theory-part1:complex signal and scattering inmultilayered media,Geophysics,47(2),203~221.
    Morlet,J.,G.Arens,E.,Fourgeau,et al,1982b,Wave propagationand Samplingtheory-part2:samplingtheoryand complex waves,Geophysics,47(2),222~236.
    Rachel E.L.,Willsky A.S.,1995,A Wavelet Packet Approachto Transient Signal Classification.Applied and Computational HarmonicAnalysis.Jul.,2(3):265~278.