Biblio

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Navid Ghadermarzy, Using prior support information in compressed sensing, The University of British Columbia, Vancouver, 2013.
S
Xiang Li, Sparsity promoting seismic imaging and full-waveform inversion, The University of British Columbia, Vancouver, 2015.
Evgeniy Lebed, Sparse signal recovery in a transform domain, The University of British Columbia, Vancouver, 2008.
Brock Hargreaves, Sparse signal recovery: analysis and synthesis formulations with prior support information, The University of British Columbia, Vancouver, 2014.
Zhilong Fang, Source estimation and uncertainty quantification for wave-equation based seismic imaging and inversion, The University of British Columbia, Vancouver, 2018.
Ziyi Yin, Solving geophysical inverse problems with scientific machine learning, Georgia Institute of Technology, Atlanta, 2024.
Philipp A. Witte, Software and algorithms for large-scale seismic inverse problems, Georgia Institute of Technology, Atlanta, 2020.
Haneet Wason, Simultaneous-source seismic data acquisition and processing with compressive sensing, The University of British Columbia, Vancouver, 2017.
James Johnson, Seismic wavefield reconstruction using reciprocity, The University of British Columbia, Vancouver, 2013.
Catherine Dupuis, Seismic singularity characterization with redundant dictionaries, The University of British Columbia, Vancouver, 2005.
Mengmeng Yang, Seismic imaging with extended image volumes and source estimation, Georgia Institute of Technology, Atlanta, 2020.
Carson Yarham, Seismic ground-roll separation using sparsity promoting $\ell_1$ minimization, The University of British Columbia, Vancouver, 2008.
Fadhel Abbas Alhashim, Seismic data processing with the parallel windowed curvelet transform, The University of British Columbia, Vancouver, 2009.
Gilles Hennenfent, Sampling and reconstruction of seismic wavefields in the curvelet domain, The University of British Columbia, Vancouver, 2008.
M
Mathias Louboutin, Modeling for inversion in exploration geophysics, Georgia Institute of Technology, Atlanta, 2020.
Ben B. Bougher, Machine learning applications to geophysical data analysis, The University of British Columbia, Vancouver, 2016.

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