Software to compute interstation correlations, including fast implementations of the phase cross-correlation (Ventosa et al., SRL 2019) and wavelet phase cross-correlation (Ventosa & Schimmel, 2023) with and without using the GPU.
Computes 4 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 wavelet phase cross-correlation (WPCC).
The computations of PCC and WPCC are speed-up in several ways:
- Both are parallelized in the CPU using OpenMP 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.
To compile execute "make" in the src directory. Use "make clean" to remove any previouly compiled code.
- The Seismic Analysis Code (SAC) is used to read and write sac files.
- The FFTW double and single precision libraries are use
- The SACHOME enviorment variable should provide the path to directory where sac is
installed. For example, in bash this can be defined as:
export SACHOME=/opt/sac
Change "/opt/sac" to your current sac directory if necessary. - OpenMP is used to speed up computations. When OpenMP is not available, use make -f makefile_NoOpenMP".
Schimmel, M., 1999. Phase cross-correlations: Design, comparisons, and applications, Bulletin of the Seismological Society of America, 89(5), 1366-1378.
Schimmel, M. and Stutzmann, E. & J. Gallart, 2011. Using instantaneous phase coherence for signal extraction from ambient noise data at a local to a global scale, Geophysical Journal International, 184(1), 494-506, doi:10.1111/j.1365-246X.2010.04861.x
Ventosa S. & M. Schimmel, 2023. Broadband empirical Green’s function extraction with data adaptive phase correlations, IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2023.3294302
Ventosa S., Schimmel M. & E. Stutzmann, 2019. Towards the processing of large data volumes with phase cross-correlation, Seismological Research Letters, 90(4):1663-1669, doi:10.1785/022019002
2023/07/13 Sergi Ventosa Rahuet (sergiventosa(at)hotmail.com)