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Seismic Data Analysis with a Dual-Tree M-Band Wavelet TransformNormal access

Authors: L. Duval, C. Chaux and J.-C. Pesquet
Event name: 67th EAGE Conference & Exhibition
Session: Seismic Data Analysis
Publication date: 13 June 2005
Organisations: SPE, EAGE
Language: English
Info: Extended abstract, PDF ( 138.68Kb )
Price: € 20

X00 SEISMIC DATA ANALYSIS WITH A DUAL-TREE P314 Abstract M-BAND WAVELET TRANSFORM CAROLINE CHAUX 1 LAURENT DUVAL 2 and JEAN-CHRISTOPHE PESQUET 1 1 Institut Gaspard Monge and CNRS-UMR 8049 Université de Marne la Vallée 77454 Marne la Vallée Cedex 2 France {chaux pesquet}@univ-mlv.fr 2 IFP 95852 Rueil-Malmaison Cedex France laurent.duval@ifp.fr Seismic data and their complexity still challenge signal processing algorithms in several applications. The development of the wavelet transform has allowed improvements in tackling denoising problems. We propose here a new method for seismic data analysis the dual-tree M-Band which consistently better preserves directional signal details embedded in highly energetic

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