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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Showing 1 to 2 of 2 (0.083 seconds)

Spelling suggestions: "subject:"sparse constrained"" "subject:"sparsely constrained""

1

Sparseness-constrained data continuation with frames: Applications to missing traces and aliased signals in 2/3-D

Hennenfent, Gilles, Herrmann, Felix J. January 2005 (has links)
We present a robust iterative sparseness-constrained interpolation algorithm using 2/3D curvelet frames and Fourier-like transforms that exploits continuity along reflectors in seismic data. By choosing generic transforms, we circumvent the necessity to make parametric assumptions (e.g. through linear/parabolic Radon or demigration) regarding the shape of events in seismic data. Simulation and real data examples for data with moderately sized gaps demonstrate that our algorithm provides interpolated traces that accurately reproduce the wavelet shape as well as the AVO behavior. Our method also shows good results for de-aliasing judged by the behavior of the (f-k)-spectrum before and after regularization.
wavelet
sparseness constrained
2D
3D
reflectors
seismic
transform
AVO
amplitude
offset
2-D
3-D
2

Curvelet imaging and processing : an overview

Herrmann, Felix J. January 2004 (has links)
In this paper an overview is given on the application of directional basis functions, known under the name Curvelets/Contourlets, to various aspects of seismic processing and imaging. Key concepts in the approach are the use of (i) that localize in both domains (e.g. space and angle); (ii) non-linear estimation, which corresponds to localized muting on the coefficients, possibly supplemented by constrained optimization (iii) invariance of the basis functions under the imaging operators. We will discuss applications that include multiple and ground roll removal; sparseness-constrained least-squares migration and the computation of 4-D difference cubes.
curvelets
contourlets
non-linear estimation
seismic processing
seismic imaging
ground roll
directional basis functions
4d difference cubes

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