A fast butterfly algorithm for the hyperbolic Radon transform
We introduce a fast butterfly algorithm for the hyperbolic Radon transform commonly used in seismic data processing. For two-dimensional data, the algorithm runs in complexity O(N[superscript 2] logN), where N is representative of the number of points in either dimension of data space or model space...
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Format: | Technical Report |
Language: | en_US |
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Massachusetts Institute of Technology. Earth Resources Laboratory
2014
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Online Access: | http://hdl.handle.net/1721.1/90469 |
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author | Hu, Jingwei Fomel, Sergey Demanet, Laurent Ying, Lexing |
author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Hu, Jingwei Fomel, Sergey Demanet, Laurent Ying, Lexing |
author_sort | Hu, Jingwei |
collection | MIT |
description | We introduce a fast butterfly algorithm for the hyperbolic Radon transform commonly used in seismic data processing. For two-dimensional data, the algorithm runs in complexity O(N[superscript 2] logN), where N is representative of the number of points in either dimension of data space or model space. Using a series of examples, we show that the proposed algorithm is significantly more efficient than conventional integration. |
first_indexed | 2024-09-23T15:52:08Z |
format | Technical Report |
id | mit-1721.1/90469 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T15:52:08Z |
publishDate | 2014 |
publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
record_format | dspace |
spelling | mit-1721.1/904692019-04-10T21:28:35Z A fast butterfly algorithm for the hyperbolic Radon transform Hu, Jingwei Fomel, Sergey Demanet, Laurent Ying, Lexing Massachusetts Institute of Technology. Earth Resources Laboratory Numerical methods We introduce a fast butterfly algorithm for the hyperbolic Radon transform commonly used in seismic data processing. For two-dimensional data, the algorithm runs in complexity O(N[superscript 2] logN), where N is representative of the number of points in either dimension of data space or model space. Using a series of examples, we show that the proposed algorithm is significantly more efficient than conventional integration. 2014-09-30T14:17:08Z 2014-09-30T14:17:08Z 2012 Technical Report http://hdl.handle.net/1721.1/90469 en_US Earth Resources Laboratory Industry Consortia Annual Report;2012-20 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
spellingShingle | Numerical methods Hu, Jingwei Fomel, Sergey Demanet, Laurent Ying, Lexing A fast butterfly algorithm for the hyperbolic Radon transform |
title | A fast butterfly algorithm for the hyperbolic Radon transform |
title_full | A fast butterfly algorithm for the hyperbolic Radon transform |
title_fullStr | A fast butterfly algorithm for the hyperbolic Radon transform |
title_full_unstemmed | A fast butterfly algorithm for the hyperbolic Radon transform |
title_short | A fast butterfly algorithm for the hyperbolic Radon transform |
title_sort | fast butterfly algorithm for the hyperbolic radon transform |
topic | Numerical methods |
url | http://hdl.handle.net/1721.1/90469 |
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