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《Progress in Geophysics》 2007-05
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Seismic signal time-frequency analysis and attributes extraction based on HHT

YANG Pei-jie,YIN Xing-yao,ZHANG Guang-zhi(Department of Geophysics,China University of Petroleum(East China),Dongying 257061,China)  
Seismic data are nonlinear and nonstationary signals,traditional analysis methods include short-time Fourier transform,wavelet analysis,Cohen's class timefrequency analysis and so on;Hilbert-Huang transform is a new kind of method to analyze nonstationary signals,the key part of the method is the empirical mode decomposition(EMD) method with which any complicated data set can be decomposed into a finite and often small number of intrinsic mode functions(IMFs) that admit well-behaved Hilbert transforms.Use it to a seismic trace,the EMD decomposes trace into several IMFs and instantaneous frequency of the trace are required;Use it to a seismic section,it provides instantaneous frequency and instantaneous phase seismic attributes which are more meaningful than before;Model test and actual application have shown the validity of this method.
【Fund】: 中国石油大学优秀博士学位论文培育资助项目(B2007-02)资助
【CateGory Index】: P631.4
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