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《Chinese Journal of Geophysics》 2009-07
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The influence of limited linearization of time window on TFPT under the strong noise background

LI Yue~1,LIN Hong-Bo~1,YANG Bao-Jun~(2*),WU Ning~1,LI Shi-Kuan~1,GAO Heng~41 Department of In f ormation Engineering,J ilin Universit y,Chan gch un 130012,Ch ina2 Department of Geophysics,J ilin University,Changchun 130026,China3 Department of Geology,J ilin University,Changch un 130061,Ch ina4 Department of Telecommunication Engineering,Changchun University of Science and Technology 130022,China  
Time-frequency peak filtering (TFPF) method is a staple technique for eliminating strong random noise in seismic exploration data.For applying these techniques extensively,this paper discussed the details of application of this method,such as choice of the length of time window,local linearization in one time window,etc.For the results of the simulation of time-varying time window TFPF,we compare many values,including the strength of global background,the amplitude of spectrum,signal-to-noise ratio,mean square error,the amplitude of peak/valley of valid wavelet, and the degree of the aberrance of wavelets,and then conclude synthetically that time-windowing filtering (L_o-L_x) will get rather ideal effect.In the case of triangle waves,the filtering effect of TFPF is related to the average curvature of side line,the length of time window,etc.The bigger the average curvature of side line is,the bigger the mean square error is;moreover,increasing the average curvature of side line will cause a trend of decreasing in the chosen length of time window.In conclusion,applying TFPF method for eliminating random noise in seismic exploration,suitable parameter of time window should be chosen,on the other hand,the parameter of time window should not vary too much,so the waveform of valid wavelet is not distorted.
【Fund】: 国家自然科学基金(40574051 40774054);; 吉林省科技发展计划项目(20050526)资助.
【CateGory Index】: P631.4
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