文件名称:CurveLab-2.0.tar
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we present the first 3D discrete curvelet transform. This transform is an extension to the 2D
transform described in Cand`es et al..1 The resulting curvelet fr a me preserves the important properties, such
as parabolic scaling, tightness and sparse representation for singularities of codimension one. We describe three
different implementations: in-core, out-of-core and MPI-based parallel implementations. Numerical results verify
the desired properties of the 3D curvelets and demonstrate the efficiency of our implementations.
transform described in Cand`es et al..1 The resulting curvelet fr a me preserves the important properties, such
as parabolic scaling, tightness and sparse representation for singularities of codimension one. We describe three
different implementations: in-core, out-of-core and MPI-based parallel implementations. Numerical results verify
the desired properties of the 3D curvelets and demonstrate the efficiency of our implementations.
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CurveLab-2.0.tar