A Study of the Adaptive Method for Decoupling Overlapping Seismic Records |
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Authors: | Xuanhui Yang Yu Jeffrey Gu Ping Shen Xiqiang Liu Zhizhen Zheng |
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Affiliation: | (1) Institute of Crustal Dynamics, China Earthquake Administration, Beijing, 100085, P.R. China;(2) Department of Physics, University of Alberta, Edmonton, AB, T6G2J1, Canada;(3) Institute of Geophysics, China Earthquake Administration, Beijing, 100086, P.R. China;(4) Shandong Provincial Seismological Bureau, Jinan, 250014, P.R. China;(5) The Center of Seismic Data and Information, Beijing, 100045, P.R. China |
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Abstract: | Signal extraction from overlapping seismic records is a common problem in geophysical data analysis. Identification and separation of multiple seismic arrivals, analysis of large earthquakes as multiple point sources, and calculation of the true yield of a large nuclear explosion from interfering small explosion, all hinge on our ability to effectively decouple two interfering wave signals. This paper presents a method for signal separation based on an adaptive filtering technique. We apply a semi-deconvolution algorithm to overlapping explosion records and S/SKS phase groups, and then perform noise reduction and signal decoupling under different a priori conditions and assess the stabilities using a variance reduction approach. We demonstrate, through numerical experiments and analysis of seismic station records, that the adaptive method can be both robust and practical for regional and teleseismic applications. |
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Keywords: | Seismic records waveform interference signal processing SKS splitting semi-blind deconvolution adaptive method |
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