Issue No. 03 - May/June (2006 vol. 8)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2006.49
Gilles Hennenfent , University of British Columbia
Felix J. Herrmann , University of British Columbia
In this article, we present an extension of the Fast Discrete Curvelet Transform (FDCT) to non-uniformly sampled data, NFDCT. With this extension to non-uniform grids, we are able to not only restore curvelet compression rates for non-uniformly sampled data but also remove noise and map the data to a regular grid.
noise, signal interaction, nonuniform Fourier transform, overcomplete signal representation, multiscale transform, shrinkage, denoising, curvelet transform, seismic processing
F. J. Herrmann and G. Hennenfent, "Seismic Denoising with Nonuniformly Sampled Curvelets," in Computing in Science & Engineering, vol. 8, no. , pp. 16-25, 2006.