ParaMonte Fortran 2.0.0
Parallel Monte Carlo and Machine Learning Library
See the latest version documentation.
pm_sampleCCF.F90 File Reference

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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.
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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.
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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.
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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.
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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"