High-dimensional wave atoms and compression of seismic datasets
Wave atoms are a low-redundancy alternative to curvelets, suitable for high-dimensional seismic data processing. This abstract extends the wave atom orthobasis construction to 3D, 4D, and 5D Cartesian arrays, and parallelizes it in a shared-memory environment. An implementation of the algorithm for...
| Main Authors: | , , , , |
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| Other Authors: | |
| 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/1721.1/90516 |
| _version_ | 1811073011672940544 |
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| author | Leinonen, Matti Hewett, Russell J. Zhang, Xiangxiong Ying, Lexing Demanet, Laurent |
| author2 | Massachusetts Institute of Technology. Earth Resources Laboratory |
| author_facet | Massachusetts Institute of Technology. Earth Resources Laboratory Leinonen, Matti Hewett, Russell J. Zhang, Xiangxiong Ying, Lexing Demanet, Laurent |
| author_sort | Leinonen, Matti |
| collection | MIT |
| description | Wave atoms are a low-redundancy alternative to curvelets, suitable for high-dimensional seismic data processing. This abstract extends the wave atom orthobasis construction to 3D, 4D, and 5D Cartesian arrays, and parallelizes it in a shared-memory environment. An implementation of the algorithm for NVIDIA CUDA capable graphics processing units (GPU) is also developed to accelerate computation for 2D and 3D data. The new transforms are benchmarked against the Fourier transform for compression of data generated from synthetic 2D and 3D acoustic models. |
| first_indexed | 2024-09-23T09:27:15Z |
| format | Technical Report |
| id | mit-1721.1/90516 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:27:15Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology. Earth Resources Laboratory |
| record_format | dspace |
| spelling | mit-1721.1/905162019-04-11T09:46:10Z High-dimensional wave atoms and compression of seismic datasets Leinonen, Matti Hewett, Russell J. Zhang, Xiangxiong Ying, Lexing Demanet, Laurent Massachusetts Institute of Technology. Earth Resources Laboratory Modeling Wave atoms are a low-redundancy alternative to curvelets, suitable for high-dimensional seismic data processing. This abstract extends the wave atom orthobasis construction to 3D, 4D, and 5D Cartesian arrays, and parallelizes it in a shared-memory environment. An implementation of the algorithm for NVIDIA CUDA capable graphics processing units (GPU) is also developed to accelerate computation for 2D and 3D data. The new transforms are benchmarked against the Fourier transform for compression of data generated from synthetic 2D and 3D acoustic models. National Science Foundation (U.S.); Alfred P. Sloan Foundation 2014-10-02T13:34:22Z 2014-10-02T13:34:22Z 2013 Technical Report http://hdl.handle.net/1721.1/90516 en_US Earth Resources Laboratory Industry Consortia Annual Report;2013-26 application/pdf Massachusetts Institute of Technology. Earth Resources Laboratory |
| spellingShingle | Modeling Leinonen, Matti Hewett, Russell J. Zhang, Xiangxiong Ying, Lexing Demanet, Laurent High-dimensional wave atoms and compression of seismic datasets |
| title | High-dimensional wave atoms and compression of seismic datasets |
| title_full | High-dimensional wave atoms and compression of seismic datasets |
| title_fullStr | High-dimensional wave atoms and compression of seismic datasets |
| title_full_unstemmed | High-dimensional wave atoms and compression of seismic datasets |
| title_short | High-dimensional wave atoms and compression of seismic datasets |
| title_sort | high dimensional wave atoms and compression of seismic datasets |
| topic | Modeling |
| url | http://hdl.handle.net/1721.1/90516 |
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