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小波变换在数字化水位观测资料分析中的应用
引用本文:陈大庆,胡江辉. 小波变换在数字化水位观测资料分析中的应用[J]. 华南地震, 2008, 28(4): 75-81
作者姓名:陈大庆  胡江辉
作者单位:1. 广东省地震局,广东,广州,510070
2. 安徽省地震局安庆地震台,安徽,安庆,246000
摘    要:小波变换是近年兴起的信号处理方法,具有良好的时频局部化特征。它不但可以准确地描述瞬变信号的局部特征,还可以通过多尺度变换,从不同频带上观察信号的特征。利用小波变换的以上特征将其运用于数字化水位观测资料不同频率潮汐波的分离、同震水震波及震前水位长周期“前驱波”的识别、干扰与同震效应的识别等方面,都取得了较好的效果。

关 键 词:固体潮  前驱波  小波变换  水震波

Application of Wavelet Transform to Analysis of Water Level Digital Observation Data
CHEN Daqing,HU Jianghui. Application of Wavelet Transform to Analysis of Water Level Digital Observation Data[J]. South China Journal of Seismology, 2008, 28(4): 75-81
Authors:CHEN Daqing  HU Jianghui
Affiliation:CHEN Daqing, HU Jianghui (1. Earthquake Administration of Guangdong Province, Guangzhou 510070, China; 2. A nqing Seismostation of Earthquake Administration of A nhui Province, A nqing 246000, China)
Abstract:Wavelet transform is a new signal processing method rising in recent years, which has a nice local characteristic in both time and frequency domains. Wavelet analysis not only can describe local characteristics of transient signals accurately, but also can observe characteristics and evolutions of signals in different frequency ranges through multi-scale transform. Making use of the above characteristics, good effects were obtained by applying the wavelet transform to separate diverse frequency solid tidal waves, draw co-seismic water level fluctuations and long period water level "precursors", and identify co-seismic response with interference.
Keywords:Wavelet transform   Solid tidal   Water level fluctuation   Water level "precursor"
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