Interferometry by deconvolution. Part 1 -Theory for acoustic waves and numerical examples

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Shear wave imaging from traffic noise using seismic interferometry by cross-coherence (2011, methodology): “In Figure 1, when we put rA at the same point as rB, the receiver point (equal to the pseudosource point) satisfies the clamped boundary condition in the sense that the retrieved wavefield vanishes for t ≠ 0 as rA → rB (Vasconcelos and Snieder, 2008a).”
Tutorial on seismic interferometry: Part 2 — Underlying theory and new advances (2010, methodology): “…equation 11 has been modified to account for time-lapse changes according to Ĝ xB,xA, Ĝ̄* xB,xA, D 1 j x iĜ xB,x, Ĝ̄* xA,x, Ĝ xB,x, iĜ̄* xA,x, nid2x j D ̂ x, Ĝ xB,x, Ĝ̄* xA,x, d3x, 25 with ̂ x, ̂ x, ̂̄* x, Vasconcelos and Snieder, 2008a; Douma, 2009; Vasconcelos et al., 2009 .”
Near‐surface weakening in Japan after the 2011 Tohoku‐Oki earthquake (2011, methodology): “…38, L17302, doi:10.1029/2011GL048800, 2011 L17302 1 of 5 cross correlation [e.g., Claerbout, 1968; Wapenaar, 2004; Bakulin and Calvert, 2004; Schuster et al., 2004], we use the algorithm based on deconvolution [e.g., Trampert et al., 1993; Snieder and Şafak, 2006; Vasconcelos and Snieder, 2008].”