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DIGITAL.CSIC
Software . 2021 . Peer-reviewed
Data sources: DIGITAL.CSIC
DIGITAL.CSIC
Software . 2019
Data sources: Datacite
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FastPCC: software to compute phase cross-correlations

Authors: Ventosa, Sergio; Schimmel, Martin;

FastPCC: software to compute phase cross-correlations

Abstract

Software 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 Actions

Más información: https://github.com/sergiventosa/FastPCC

Contacto: Martin Schimmel, mschimmel@geo3bcn.csic.es

Contacto: Sergi Ventosa, sventosa@geo3bcn.csic.es

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Spain
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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