Annual Meeting Presentations, Dec 9 & 10, 2013, Calgary
Sparsity and nuclear norm constraints for tensor completion methods for data reconstruction
On sampling optimization based on mutual coherency criterion
Joint sparsity for model recovery in the presence of outliers: Application to simultaneous source processing
Estimating sparse-spike attributes from AVA data using a fast iterative shrinkage-thresholding algorithm and least squares
Separation and reconstruction of simultaneous source data via iterative rank reduction
Sparsity and band-limitation: Two sides of the same coin?
Separability of simultaneous source data based on distributions of firing times
LS-PSTM of converted waves for imaging and reconstruction
Statics preserving basis pursuit denoising
Filter-based least squares split step migration
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Signal Analysis and Imaging Group Department of Physics, University of Alberta Edmonton, AB, T6G 2G7, Canada |
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