FastPCC: software to compute phase cross-correlations

Más información: https://github.com/sergiventosa/FastPCCContacto: Sergi Ventosa, sventosa@geo3bcn.csic.esContacto: Martin Schimmel, mschimmel@geo3bcn.csic.esSoftware to compute interstation correlations, including fast implementations of geometrically-normalized (CCGN), 1-bit correlation (1-bit CCGN), and phase cross-correlations (PCC) with and without using the GPU (Ventosa et al., SRL 2019). The software packages of fast phase cross-correlation and ts-PWS stacking are basic building blocks in the design of efficient signal extraction methods from interstation correlations. Main features: Computes 3 types of correlations: The standard (geometrically) normalized cross-correlations (GNCC). The 1-bit amplitude normalization followed by the GNCC (1-bit GNCC). The phase cross-correlation (PCC). The computations of PCC are accerated in several ways: PCC is parallelized in the CPU using OpenMP 3.1 and in the GPU using CUDA (two independent codes). The computational cost of PCC with power of 2 is reduced to about twice the one of 1-bit GNCC.Ministerio de Economía, industria y competitividad, CGL2013-48601-C2-1-R; Agence Nationale de la Recherche, ANR-14-CE01-0012; EU Framework Programme Horizon 2020, ES1401, TIDES COST ActionsPeer reviewe