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Computing in Science & Engineering
Article . 2006 . Peer-reviewed
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https://dx.doi.org/10.1109/mcs...
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Seismic denoising with nonuniformly sampled curvelets

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2006Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:Computing in Science & Engineering, volume 8, pages 16-25 (issn: 1521-9615, Copyright policy )
Authors: Gilles Hennenfent; Felix J. Herrmann;

doi: 10.1109/mcse.2006.49

Seismic denoising with nonuniformly sampled curvelets

Abstract

The authors present an extension of the fast discrete curvelet transform (FDCT) to nonuniformly sampled data. This extension not only restores curvelet compression rates for nonuniformly sampled data but also removes noise and maps the data to a regular grid

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
212
Top 1%
Top 1%
Top 10%
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