Seismic denoising with nonuniformly sampled curvelets

  title={Seismic denoising with nonuniformly sampled curvelets},
  author={Gilles Hennenfent and Felix J. Herrmann},
  journal={Computing in Science & Engineering},
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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Adaptive SurfaceRelated Multiple Elimination

  • C. P. A. Wapenaar
  • Geophysics
  • 2006

Curvelets and Fourier Integral Operators

  • D. L. Donoho
  • Royal Academy of Science , Paris
  • 2003

On the Fast Fourier Transforms of Functions with Singularities

  • I. M. Johnstone
  • Applied and Computational Harmonic Analysis
  • 1995

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