A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Why Simple Shrinkage Is Still Relevant for Redundant Representations?
IEEE Transactions on Information Theory
Robust classifiers for data reduced via random projections
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform
Journal of Mathematical Imaging and Vision
On analysis-based two-step interpolation methods for randomly sampled seismic data
Computers & Geosciences
A 4-quadrant curvelet transform for denoising digital images
International Journal of Automation and Computing
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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.