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Author Title [ Type(Asc)] Year
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Thesis
Peyman P. Moghaddam, “Curvelet-based migration amplitude recovery”, The University of British Columbia, Vancouver, 2010.
Presentation
Peyman P. Moghaddam, “Randomized full-waveform inversion”, SINBAD Fall consortium talks. SINBAD, 2010.
Journal Article
Hamideh Sanavi, Peyman P. Moghaddam, and Felix J. Herrmann, “True amplitude depth migration using curvelets”, Geophysics, vol. 86, pp. S299-S310, 2021.
Felix J. Herrmann, Peyman P. Moghaddam, and Christiaan C. Stolk, “Sparsity- and continuity-promoting seismic image recovery with curvelet frames”, Applied and Computational Harmonic Analysis, vol. 24, pp. 150-173, 2008.
Peyman P. Moghaddam, Henk Keers, Felix J. Herrmann, and Wim A. Mulder, “A new optimization approach for source-encoding full-waveform inversion”, Geophysics, vol. 78, pp. R125-R132, 2013.
Felix J. Herrmann, Deli Wang, Gilles Hennenfent, and Peyman P. Moghaddam, “Curvelet-based seismic data processing: a multiscale and nonlinear approach”, Geophysics, vol. 73, pp. A1-A5, 2008.
Felix J. Herrmann, Cody R. Brown, Yogi A. Erlangga, and Peyman P. Moghaddam, “Curvelet-based migration preconditioning and scaling”, Geophysics, vol. 74, pp. A41-A46, 2009.
Conference
Peyman P. Moghaddam, “Sparsity- and continuity-promoting norms for seismic images”, in SINBAD 2006, 2006.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Sparsity and continuity enhancing seismic imaging”, in CSEG Annual Conference Proceedings, 2007.
Felix J. Herrmann, Gilles Hennenfent, and Peyman P. Moghaddam, “Seismic imaging and processing with curvelets”, in EAGE Annual Conference Proceedings, 2007.
Felix J. Herrmann, Deli Wang, Gilles Hennenfent, and Peyman P. Moghaddam, “Seismic data processing with curvelets: a multiscale and nonlinear approach”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2220-2224.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Seismic amplitude recovery with curvelets”, in EAGE Annual Conference Proceedings, 2007.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Robust seismic-images amplitude recovery using curvelets”, in SEG Technical Program Expanded Abstracts, 2007, vol. 26, pp. 2225-2229.
Peyman P. Moghaddam, “Reverse-time migration amplitude recovery with curvelets”, in SINBAD 2008, 2008.
Peyman P. Moghaddam and Felix J. Herrmann, “Randomized full-waveform inversion: a dimenstionality-reduction approach”, in SEG Technical Program Expanded Abstracts, 2010, vol. 29, pp. 977-982.
Felix J. Herrmann, Peyman P. Moghaddam, and R. Kirlin, “Optimization strategies for sparseness- and continuity-enhanced imaging: theory”, in EAGE Annual Conference Proceedings, 2005.
Felix J. Herrmann and Peyman P. Moghaddam, “Non-linear regularization in seismic imaging”, in CSEG Annual Conference Proceedings, 2005.
Peyman P. Moghaddam and Felix J. Herrmann, “Migration preconditioning with curvelets”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 2204-2207.
Peyman P. Moghaddam, Felix J. Herrmann, and Christiaan C. Stolk, “Migration amplitude recovery using curvelets”, in CSEG Annual Conference Proceedings, 2007.
Felix J. Herrmann and Peyman P. Moghaddam, “Just diagonalize: a curvelet-based approach to seismic amplitude recovery”, in EAGE Workshop on Curvelets, contourlets, seislets, … in seismic data processing - where are we and where are we going?, 2007.
Peyman P. Moghaddam, “Imaging operator approximation using curvelets”, in SINBAD 2006, 2006.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-domain preconditioned 'wave-equation' depth-migration with sparseness and illumination constraints”, in EAGE Annual Conference Proceedings, 2004.
Felix J. Herrmann, Peyman P. Moghaddam, and Deli Wang, “Curvelet-domain matched filtering”, in SEG Technical Program Expanded Abstracts, 2008, vol. 27.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-domain least-squares migration with sparseness constraints”, in EAGE Annual Conference Proceedings, 2004.
Felix J. Herrmann and Peyman P. Moghaddam, “Curvelet-based non-linear adaptive subtraction with sparseness constraints”, in SEG Technical Program Expanded Abstracts, 2004, vol. 23, pp. 1977-1980.

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