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《Chinese Journal of Geophysics》 2012-12
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Magnetotelluric sounding data processing based on generalized S transformation

JING Jian-En1,2,WEI Wen-Bo1,2,CHEN Hai-Yan1,2,JIN Sheng1,2 1 School of Geophysics and Information Technology(China University of Geosciences,Beijing),Beijing 100083,China 2 Key Laboratory of Geo-detection(China University of Geosciences,Beijing),Ministry of Education;State Key Laboratory of Geological Processes and Mineral Resources(China University of Geosciences,Beijing),Beijing 100083,China  
S transform is one of the methods for signal time-frequency analysis,which is better than short-time Fourier transform and wavelet transform.There exist two advantages by using S transform method to analyze Magnetotelluric(MT) field time series.On one hand,the method can locate electromagnetic noise accurately in the MT data and facilitate the design of time-frequency filter.On the other hand,the method can improve the statistical properties of the power spectrum by getting more spectrum coefficients.According to the principle of generalized S transform and MT sounding data processing method,the formula of discrete generalized S transform(DGST) with folded window is proposed,the relationship is discussed among scaling factor of DGST and sampling interval and the number of spectrum coefficient,expression of average spectrum density of electromagnetic component is defined using DGST time-frequency spectrum.Through the theoretical research,The ROBUST method and program of MT sounding data processing are developed by using of S transform time-frequency spectrum.Field data is processed using the developed program and the results demonstrate that MT data processing method based on S transform method is effective and superior to one based on short-time window Fourier transform and contributes to identify and suppress electromagnetic noise.
【Fund】: 国家“深部探测技术与实验研究”专项(SinoProbe-01 Sinoprobe-01-02);; 中央高校基本科研业务费专项资金(2011YYL106)联合资助
【CateGory Index】: P631.325
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