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| Analyses on normal background characteristics about deformation observation data on the basis of wavelet transform method | |
| 作者姓名： | 李杰 刘希强 李红 毛玉华 郑树田 |
| 作者单位： | Earthquake Administration of Shandong Province，Earthquake Administration of Shandong Province，Earthquake Administration of Shandong Province，Taian Seismological Fiducial Station of Shandong Province，Earthquake Administration of Anqiu Jinan 250014，China，Jinan 250014，China，Jinan 250014，China，Taian 271600，China，Anqiu 262100，China |
| 基金项目： | Natural Science Foundation of Shandong Province (Y2000E08)，the bargain item of China Earthquake Administration in the year 2002. |
| 摘 要： | Introduction Fourier transform that summed up a series discomposed sin functions of signal has been one of the widely used methods in the field of signal process all along. While for time information be-ing thrown away by this transform, it is difficult for us to judge when a special signal occurs on the way. Though short time Fourier transform (STFT) was developed later, which can probe local features of signals, it can not reveal what is really there because uniform window functions de-fin… |
| 收稿时间： | 22 September 2003 |
| 修稿时间： | 5 July 2004 |
Analyses on normal background characteristics about deformation observation data on the basis of wavelet transform method |
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| Li Jie , Liu Xi-qiang , Li Hong , Mao Yu-hua and Zheng Shu-tian.Analyses on normal background characteristics about deformation observation data on the basis of wavelet transform method[J].Acta Seismologica Sinica(English Edition),2005,18(1):34-42. | |
| Authors: | Li Jie Liu Xi-qiang Li Hong Mao Yu-hua and Zheng Shu-tian |
| Institution: | 1. Earthquake Administration of Shandong Province, Ji'nan 250014, China 2. Tai'an Seismological Fiducial Station of Shandong Province, Tai'an 271600, China 3. Earthquake Administration of Anqiu, Anqiu 262100, China |
| Abstract: | Wavelet transform method is applied to measure time-frequency distribution characteristics of digital deformation data and noise. Based on the characteristics of primary modulus and stochastic white noise discrimination factor of wavelet decomposition, we analyze the variation rule of normal background and noise data from Shandong digital deformation observation data. The research results indicate that: a) 1/4 daily wave, semi-diurnal tide wave, daily wave and half lunar wave and so on quasi-periodic signal exist in the detail decomposing signal of wavelet when scale are equal to 2, 3 and 4; b) The amplitude of detail decomposing signal is the biggest when scale is equal to 3; c) The detail decomposing signal contains mainly noise corresponding to scale 1 and 5, respectively; d) We may trace the abnormal precursory which is related to earthquake by analyzing non-earthquake wavelet decomposing signal whose scale is specified from digital deformation observation data. |
| Keywords: | wavelet transform digital deformation observation data separation method between signal and noise discrimination of earthquake precursory |
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