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Conference
Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
Bander Jumah and Felix J. Herrmann, “Dimensionality-reduced estimation of primaries by sparse inversion”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 3520-3525.
Tim T.Y. Lin and Felix J. Herrmann, “Estimating primaries by sparse inversion in a curvelet-like representation domain”, in EAGE Annual Conference Proceedings, 2011.
Yijun Zhang, Shashin Sharan, and Felix J. Herrmann, “High-frequency wavefield recovery with weighted matrix factorizations”, in SEG Technical Program Expanded Abstracts, 2019, pp. 3959-3963.
Joost van der Neut, Felix J. Herrmann, and Kees Wapenaar, “Interferometric redatuming with simultaneous and missing sources using sparsity promotion in the curvelet domain”, in SEG Technical Program Expanded Abstracts, 2012, vol. 31, pp. 1-7.
Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, “Migration with surface-related multiples from incomplete seismic data”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 3222-3227.
Rajiv Kumar, Curt Da Silva, Oscar Lopez, Aleksandr Y. Aravkin, Hassan Mansour, Haneet Wason, Ernie Esser, and Felix J. Herrmann, “Rank minimization based seismic data processing and inversion”, in Inaugural Full-Waveform Inversion Workshop, 2015.
Tim T.Y. Lin and Felix J. Herrmann, “Robust source signature deconvolution and the estimation of primaries by sparse inversion”, in SEG Technical Program Expanded Abstracts, 2011, vol. 30, pp. 4354-4359.
Tim T.Y. Lin, Ning Tu, and Felix J. Herrmann, “Sparsity-promoting migration from surface-related multiples”, in SEG Technical Program Expanded Abstracts, 2010, vol. 29, pp. 3333-3337.
Ning Tu, Tim T.Y. Lin, and Felix J. Herrmann, “Sparsity-promoting migration with surface-related multiples”, in EAGE Annual Conference Proceedings, 2011.
Tim T.Y. Lin and Felix J. Herrmann, “Stabilized estimation of primaries via sparse inversion”, in EAGE Annual Conference Proceedings, 2010.
Yijun Zhang, Shashin Sharan, Oscar Lopez, and Felix J. Herrmann, “Wavefield recovery with limited-subspace weighted matrix factorizations”, in SEG Technical Program Expanded Abstracts, 2020, pp. 2858-2862.
Journal Article
Felix J. Herrmann, Deli Wang, and D. J. Verschuur, “Adaptive curvelet-domain primary-multiple separation”, Geophysics, vol. 73, pp. A17-A21, 2008.
Deli Wang, Rayan Saab, Ozgur Yilmaz, and Felix J. Herrmann, “Bayesian wavefield separation by transform-domain sparsity promotion”, Geophysics, vol. 73, pp. 1-6, 2008.
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.
Vishal Kumar, Jounada Oueity, Ron Clowes, and Felix J. Herrmann, “Enhancing crustal reflection data through curvelet denoising”, Technophysics, vol. 508, pp. 106-116, 2011.
Gilles Hennenfent, Ewout van den Berg, Michael P. Friedlander, and Felix J. Herrmann, “New insights into one-norm solvers from the Pareto curve”, Geophysics, vol. 73, pp. A23-A26, 2008.
Gilles Hennenfent, Lloyd Fenelon, and Felix J. Herrmann, “Nonequispaced curvelet transform for seismic data reconstruction: a sparsity-promoting approach”, Geophysics, vol. 75, pp. WB203-WB210, 2010.
Felix J. Herrmann, Urs Boeniger, and D. J. Verschuur, “Non-linear primary-multiple separation with directional curvelet frames”, Geophysical Journal International, vol. 170, pp. 781-799, 2007.
Felix J. Herrmann, “Seismic deconvolution by atomic decomposition: a parametric approach with sparseness constraints”, Integrated Computer-Aided Engineering, vol. 12, pp. 69-90, 2005.
Gilles Hennenfent and Felix J. Herrmann, “Seismic denoising with nonuniformly sampled curvelets”, Computing in Science & Engineering, vol. 8, pp. 16-25, 2006.
Gilles Hennenfent and Felix J. Herrmann, “Simply denoise: wavefield reconstruction via jittered undersampling”, Geophysics, vol. 73, pp. V19-V28, 2008.
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.
Thesis
Rajiv Kumar, “Enabling large-scale seismic data acquisition, processing and waveform-inversion via rank-minimization”, The University of British Columbia, Vancouver, 2017.