地震学报（英文版）2005，Vol.18Issue(1)：34-42,9.
Analyses on normal background characteristics about deformation observation data on the basis of wavelet transform method
Analyses on normal background characteristics about deformation observation data on the basis of wavelet transform method
摘要
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.关键词
wavelet transform/digital deformation observation data/separation method between signal and noise/discrimination of earthquake precursoryKey words
wavelet transform/digital deformation observation data/separation method between signal and noise/discrimination of earthquake precursory分类
天文与地球科学引用本文复制引用
李杰,刘希强,李红,毛玉华,郑树田..Analyses on normal background characteristics about deformation observation data on the basis of wavelet transform method[J].地震学报（英文版）,2005,18(1):34-42,9.基金项目
Natural Science Foundation of Shandong Province (Y2000E08) and the bargain item of China Earthquake Administration in the year 2002. （Y2000E08）
