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《Progress in Geophysics》 2011-01
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Random noise attenuation based on ensemble empirical mode decomposition

SHI Heng~(1,2), LI Gui-lin~1, WANG Wei~3, LI Yu-ying~(3,4), GAO Xing~3(1. Institute of Tibetan Plateau,Chinese Academy of Sciences,Beijing 100085,China; 2.Graduate University of Chinese Academy of Sciences,Beijing 100039,China; 3.The State Key Laboratory of Resources and Environmental In formation System, Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Science,Beijing 100101,China;4. Northeast Petroleum University,Daqing 163318,China)  
Noise attenuation is a very important step for seismic data processing.It is forward demanded to improve the seismic data signal-to-noise rate in modern seismic exploration.The ensemble empirical mode decomposition (EEMD),which is the betterment of empirical mode decomposition (EMD),is proposed as a highly effective timedomain filter.The EEMD is an adaptive band-pass filter,which empirically reduces a signal to several subsignals defined as intrinsic mode function (IMF).The paper introduces the basic principles of EMD and EEMD,and proposes a noise attenuation method based on EEMD.Using the different characteristics of significant signal and noise in IMFs,the method provides a new solution for random noise attenuation of seismic data.
【Fund】: 国家科技重大专项任务(2008ZX05008);; 国家自然基金项目(41074041 40874033)资助
【CateGory Index】: P631.4
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