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Analytic minimum information deconvolution and its application to ocean bottom seismometer data
Author(s) -
Kim HanJoon,
Marillier François
Publication year - 1996
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/96gl01880
Subject(s) - deconvolution , geology , wavelet , seismometer , seismogram , synthetic seismogram , amplitude , seismology , depth sounding , impulse response , blind deconvolution , analytic signal , reflection (computer programming) , geophysics , optics , signal processing , computer science , physics , mathematics , radar , mathematical analysis , telecommunications , oceanography , programming language , artificial intelligence
Seismic refraction/wide angle reflection data for the study of the earth's crust generally lack resolution due to the low frequency wavelets from seismic sources. Standard deconvolution techniques to improve resolution of the data are limited by phase‐shifted waveforms such as supercritical reflections from the Moho as well as various refraction phases from the crust. We extended the minimum information deconvolution technique to the analytic formulation to deconvolve seismic data that contain phase‐shifted wavelets. When applied to a seismogram, analytic deconvolution yields the amplitude of the earth's impulse response function in the form of the signal envelope. An application example with ocean bottom seismometer data acquired along the Canadian continental margin of the Atlantic shows a remarkable improvement in resolution by compressing the wavelets effectively.