A parallel windowed fast discrete curvelet transform applied to seismic processing

We propose using overlapping, tapered windows to process seismic data in parallel. This method consists of numerically tight linear operators and adjoints that are suitable for use in iterative algorithms. This method is also highly scalable and makes parallel processing of large seismic data sets f...

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Bibliographic Details
Main Authors:	Thomson, Darren, Hennenfent, Gilles, Modzelewski, Henryk, Herrmann, Felix J.
Language:	English
Published:	Society of Exploration Geophysicists 2008
Subjects:	fast discrete curvelet transform parallel processing overlapping windows parallelization FDCT fast fourier transform
Online Access:	http://hdl.handle.net/2429/544

id	ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.2429-544
record_format	oai_dc
spelling	ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.2429-5442014-03-14T15:36:37Z A parallel windowed fast discrete curvelet transform applied to seismic processing Thomson, Darren Hennenfent, Gilles Modzelewski, Henryk Herrmann, Felix J. fast discrete curvelet transform parallel processing overlapping windows parallelization FDCT fast fourier transform We propose using overlapping, tapered windows to process seismic data in parallel. This method consists of numerically tight linear operators and adjoints that are suitable for use in iterative algorithms. This method is also highly scalable and makes parallel processing of large seismic data sets feasible. We use this scheme to define the Parallel Windowed Fast Discrete Curvelet Transform (PWFDCT), which we apply to a seismic data interpolation algorithm. The successful performance of our parallel processing scheme and algorithm on a two-dimensional synthetic data is shown. 2008-03-07T23:10:44Z 2008-03-07T23:10:44Z 2006 text Thomson, Darren, Hennenfent, Gilles, Modzelewski, Henryk, Herrmann, Felix J. 2006. A parallel windowed fast discrete curvelet transform applied to seismic processing. SEG Extended Abstracts. http://hdl.handle.net/2429/544 eng Herrmann, Felix J. Society of Exploration Geophysicists
collection	NDLTD
language	English
sources	NDLTD
topic	fast discrete curvelet transform parallel processing overlapping windows parallelization FDCT fast fourier transform
spellingShingle	fast discrete curvelet transform parallel processing overlapping windows parallelization FDCT fast fourier transform Thomson, Darren Hennenfent, Gilles Modzelewski, Henryk Herrmann, Felix J. A parallel windowed fast discrete curvelet transform applied to seismic processing
description	We propose using overlapping, tapered windows to process seismic data in parallel. This method consists of numerically tight linear operators and adjoints that are suitable for use in iterative algorithms. This method is also highly scalable and makes parallel processing of large seismic data sets feasible. We use this scheme to define the Parallel Windowed Fast Discrete Curvelet Transform (PWFDCT), which we apply to a seismic data interpolation algorithm. The successful performance of our parallel processing scheme and algorithm on a two-dimensional synthetic data is shown.
author	Thomson, Darren Hennenfent, Gilles Modzelewski, Henryk Herrmann, Felix J.
author_facet	Thomson, Darren Hennenfent, Gilles Modzelewski, Henryk Herrmann, Felix J.
author_sort	Thomson, Darren
title	A parallel windowed fast discrete curvelet transform applied to seismic processing
title_short	A parallel windowed fast discrete curvelet transform applied to seismic processing
title_full	A parallel windowed fast discrete curvelet transform applied to seismic processing
title_fullStr	A parallel windowed fast discrete curvelet transform applied to seismic processing
title_full_unstemmed	A parallel windowed fast discrete curvelet transform applied to seismic processing
title_sort	parallel windowed fast discrete curvelet transform applied to seismic processing
publisher	Society of Exploration Geophysicists
publishDate	2008
url	http://hdl.handle.net/2429/544
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A parallel windowed fast discrete curvelet transform applied to seismic processing

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