High-dimensional wave atoms and compression of seismic datasets

dc.contributor.author	Leinonen, Matti
dc.contributor.author	Hewett, Russell J.
dc.contributor.author	Zhang, Xiangxiong
dc.contributor.author	Ying, Lexing
dc.contributor.author	Demanet, Laurent
dc.contributor.other	Massachusetts Institute of Technology. Earth Resources Laboratory
dc.date.accessioned	2014-10-02T13:34:22Z
dc.date.available	2014-10-02T13:34:22Z
dc.date.issued	2013
dc.identifier.uri	http://hdl.handle.net/1721.1/90516
dc.description.abstract	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.	en_US
dc.description.sponsorship	National Science Foundation (U.S.); Alfred P. Sloan Foundation	en_US
dc.language.iso	en_US	en_US
dc.publisher	Massachusetts Institute of Technology. Earth Resources Laboratory	en_US
dc.relation.ispartofseries	Earth Resources Laboratory Industry Consortia Annual Report;2013-26
dc.subject	Modeling
dc.title	High-dimensional wave atoms and compression of seismic datasets	en_US
dc.type	Technical Report	en_US