Fast randomized full-waveform inversion with compressive sensing

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Efficient matrix completion for seismic data reconstruction (2015, methodology): “When working with frequency slices using curvelets, Mansour et al. (2013) showed that the best recovery is achieved in the midpoint-offset domain, owing to the increased curvelet sparsity.”
Full Waveform Inversion and the Truncated Newton Method (2013, background): “A possible reduction of the amount of data to store can be achieved through random source decimation [75, 78] or random source encoding and compressive sensing strategies [31, 35].”
A new optimization approach for source-encoding full-waveform inversion (2013, methodology): “In this paper, we consider a significant reduction of the calculation time using source encoding (Krebs et al., 2009; Li and Herrmann, 2010; Moghaddam and Herrmann, 2010; van Leeuwen et al., 2011; Haber et al., 2012; Li et al., 2012).”