Seismic data reconstruction via matrix completion

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Seismic data restoration via data-driven tight frame (2014, methodology): “Alternately, Yang et al. (2013) apply nuclear-normminimization-based matrix completion for seismic data restoration.”
Efficient matrix completion for seismic data reconstruction (2015, methodology): “More recently, rank-minimization-based techniques have been applied to interpolating seismic data (Trickett et al., 2010; Oropeza and Sacchi, 2011; Kreimer and Sacchi, 2012b,a; Yang et al., 2013).”
Modern regularization methods for inverse problems (2018, unknown): “[102, 317, 86, 87, 367]) ‖U‖∗ = ∑ σi, (19) where σi are the singular values of U .”
Interpolation and denoising of high-dimensional seismic data by learning a tight frame (2015, methodology): “Rank-reduced methods (Trickett et al., 2010; Kreimer and Sacchi, 2012; Gao et al., 2013; Ma, 2013; Yang et al., 2013) assume that the seismic data itself or constant-frequency slices of the fully sampled data can be reformulated to a low-rank matrix for reconstruction purpose.”