Multiple prediction from incomplete data with the focused curvelet transform
Incomplete data represents a major challenge for a successful prediction and subsequent removal of multiples. In this paper, a new method will be represented that tackles this challenge in a two-step approach. During the first step, the recenly developed curvelet-based recovery by sparsity-promoting...
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| Language: | English |
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Society of Exploration Geophysicists
2008
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| Online Access: | http://hdl.handle.net/2429/601 |