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Recent results in curvelet-based primary-multiple separation: application to real data

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Title: Recent results in curvelet-based primary-multiple separation: application to real data
Author: Wang, Deli; Saab, Rayan; Yilmaz, Ozgur; Herrmann, Felix J.
Subject Keywords primary multiple separation;curvelets;phase space;space-spatial frequency plane;compression;wavefronts;SRME;nonlinear signal separation
Issue Date: 2007
Publicly Available in cIRcle 2008-03-11
Publisher Society of Exploration Geophysicists
Citation: Wang, Deli, Saab, Rayan, Yilmaz, Ozgur, Herrmann, Felix J. 2007. Recent results in curvelet-based primary-multiple separation: application to real data. SEG International Exposition and 77th Annual Meeting.
Abstract: In this abstract, we present a nonlinear curvelet-based sparsitypromoting formulation for the primary-multiple separation problem. We show that these coherent signal components can be separated robustly by explicitly exploting the locality of curvelets in phase space (space-spatial frequency plane) and their ability to compress data volumes that contain wavefronts. This work is an extension of earlier results and the presented algorithms are shown to be stable under noise and moderately erroneous multiple predictions.
Affiliation: Earth and Ocean Sciences, Dept. of (EOS), Dept of
URI: http://hdl.handle.net/2429/565
Peer Review Status:

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