In this paper, we turn the interpolation problem of
coarsely-sampled data into a denoising problem. From
this point of view, we illustrate the benefit of random
sampling at sub-Nyquist rate over regular sampling at
the same rate. We show that, using nonlinear sparsity promoting
optimization, coarse random sampling may
actually lead to significantly better wavefield reconstruction
than equivalent regularly sampled data.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/556 |
| Date | January 2007 |
| Creators | Hennenfent, Gilles, Herrmann, Felix J. |
| Publisher | Society of Exploration Geophysicists |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | text |
| Rights | Herrmann, Felix J. |
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