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Random sampling: new insights into the reconstruction of coarsely-sampled wavefields

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.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/556
Date January 2007
CreatorsHennenfent, Gilles, Herrmann, Felix J.
PublisherSociety of Exploration Geophysicists
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
Typetext
RightsHerrmann, Felix J.

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