The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
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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Citations
Cites
A Wavelet Tour of Signal Processing
(1999) · Elsevier eBooks · doi:10.1016/b978-0-12-466606-1.x5000-4 · Cited by 16,227
Fast Discrete Curvelet Transforms
Candès, E., Demanet, L., Donoho, D., & Ying, L. (2006) · Multiscale Modeling & Simulation · doi:10.1137/05064182x · Cited by 2,573
New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities
Candès, E. J., & Donoho, D. L. (2004) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.10116 · Cited by 1,545
Minimax estimation via wavelet shrinkage
Donoho, D. L., & Johnstone, I. M. (1998) · The Annals of Statistics · doi:10.1214/aos/1024691081 · Cited by 1,005
Redundant Multiscale Transforms and Their Application for Morphological Component Separation
Starck, J.-L., Elad, M., & Donoho, D. (2004) · Advances in Imaging and Electron Physics · doi:10.1016/s1076-5670(04)32006-9 · Cited by 443
On the Fast Fourier Transform of Functions with Singularities
Beylkin, G. (1995) · Applied and Computational Harmonic Analysis · doi:10.1006/acha.1995.1026 · Cited by 334
Recovering edges in ill-posed inverse problems: optimality of curvelet frames
Candès, E. J., & Donoho, D. L. (2002) · The Annals of Statistics · doi:10.1214/aos/1028674842 · Cited by 322
Why Simple Shrinkage Is Still Relevant for Redundant Representations?
Elad, M. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.885522 · Cited by 291
Non-linear primary-multiple separation with directional curvelet frames
Herrmann, F. J., Böniger, U., & Verschuur, D. J. (2007) · Geophysical Journal International · doi:10.1111/j.1365-246x.2007.03360.x · Cited by 135
Self-citationCurvelets and Fourier Integral Operators
Candès, E. J., & Demanet, L. (2003) · Comptes Rendus Mathématique · doi:10.1016/s1631-073x(03)00095-5 · Cited by 108
Cited by
Yu, S., Ma, J., & Wang, W. (2019) · Geophysics · doi:10.1190/geo2018-0668.1 · Cited by 406
Simply denoise: Wavefield reconstruction via jittered undersampling
Hennenfent, G., & Herrmann, F. J. (2008) · Geophysics · doi:10.1190/1.2841038 · Cited by 314
Self-citation
Metadata
- Authors
- Hennenfent, G., & Herrmann, F. J.
- Venue
- Computing in Science & Engineering
- Published
- 2006-05
- Volume
- 8
- Issue
- 3
- Pages
- 16-25
- ISSN
- 1521-9615 (ISSN-L)
- OpenAlex
- W2013913026
- Cited by
- 261
- References
- 10
- FWCI
- 12.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hennenfent, G., & Herrmann, F. J. (2006). Seismic denoising with nonuniformly sampled curvelets. Computing in Science & Engineering. https://doi.org/10.1109/mcse.2006.49
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
