Structured dictionary learning for interpolation of aliased seismic data

[1]  Mostafa Naghizadeh,et al.  Hierarchical Scale Curvelet Interpolation of Aliased Seismic Data , 2010 .

[2]  Y. C. Pati,et al.  Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[3]  Mauricio D. Sacchi,et al.  Convergence improvement and noise attenuation considerations for beyond alias projection onto convex sets reconstruction , 2013 .

[4]  Michael Elad,et al.  Sparse and Redundant Representations - From Theory to Applications in Signal and Image Processing , 2010 .

[5]  Kjersti Engan,et al.  Method of optimal directions for frame design , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[6]  Sean Crawley Seismic trace interpolation with nonstationary prediction-error filters , 2000 .

[7]  Michael Elad,et al.  Stable recovery of sparse overcomplete representations in the presence of noise , 2006, IEEE Transactions on Information Theory.

[8]  Michael Elad,et al.  Efficient Implementation of the K-SVD Algorithm using Batch Orthogonal Matching Pursuit , 2008 .

[9]  M. Elad,et al.  $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.

[10]  S. Spitz Seismic trace interpolation in the F-X domain , 1991 .

[11]  Yangkang Chen,et al.  Dealiased Seismic Data Interpolation Using Seislet Transform With Low-Frequency Constraint , 2015, IEEE Geoscience and Remote Sensing Letters.