Recent results in curvelet-based primary-multiple separation: application to real data
In this abstract, we present a nonlinear curvelet-based sparsitypromoting formulation for the primary-multiple separation problem. We show that these coherent signal components can be separated robustly by explicitly exploting the locality of curvelets in phase space (space-spatial frequency pla...
| Main Authors: | , , , |
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| Language: | English |
| Published: |
Society of Exploration Geophysicists
2008
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| Subjects: | |
| Online Access: | http://hdl.handle.net/2429/565 |