ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation. |
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Data Types | |
interface | pm_sampleCCF::getACF |
Generate and return the auto-correlation function (ACF) \((f\star f)(\tau)\) of the discrete signal \(f\) lagging itself for a range of lags. More... | |
interface | pm_sampleCCF::setACF |
Return the auto-correlation function (ACF) \((f\star f)(\tau)\) of the discrete signal \(f\) lagging itself for a range of lags that spans the sequence length. More... | |
interface | pm_sampleCCF::getCCF |
Generate and return the cross-correlation function (CCF) \((f\star g)(\tau)\) of the discrete signal \(g\) lagging the signal the discrete signal \(f\) for a range of specified lags. More... | |
interface | pm_sampleCCF::setCCF |
Return the cross-correlation function (CCF) \((f\star g)(\tau)\) of the discrete signal \(g\) lagging the signal the discrete signal \(f\) for a range of lags that spans the maximum of the lengths of the two sequences. More... | |
Modules | |
module | pm_sampleCCF |
This module contains classes and procedures for computing properties related to the cross correlation of random samples. | |
Variables | |
character(*, SK), parameter | pm_sampleCCF::MODULE_NAME = "@pm_sampleCCF" |