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

TitleRandom sampling: new insights into the reconstruction of coarsely sampled wavefields
Publication TypeConference
Year of Publication2007
AuthorsGilles Hennenfent, Felix J. Herrmann
Conference NameSEG Technical Program Expanded Abstracts
Volume26
Page2575-2579
OrganizationSEG
KeywordsPresentation, SEG, SLIM
Abstract

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. {\copyright}2007 Society of Exploration Geophysicists

URLhttps://www.slim.eos.ubc.ca/Publications/Public/Conferences/SEG/2007/hennenfent07SEGrsn/hennenfent07SEGrsn.pdf
DOI10.1190/1.2793002
Presentation

https://www.slim.eos.ubc.ca/Publications/Public/Conferences/SEG/2007/hen...

Citation Keyhennenfent2007SEGrsn