Parametric modeling of periodically correlated random processes by their representation through stationary random processes

Ihor N. Yavorskyj; I. B. Kravets; I. Yu. Isayev

doi:10.3103/S0735272706110057

Authors

Ihor N. Yavorskyj Karpenko Physico-Mechanical Institute of NASU; University of Technology and Life Sciences, Ukraine https://orcid.org/0000-0002-6533-3186
I. B. Kravets Karpenko Physico-Mechanical Institute of NASU, Ukraine
I. Yu. Isayev Karpenko Physico-Mechanical Institute of NASU, Ukraine

DOI:

https://doi.org/10.3103/S0735272706110057

Abstract

Theoretical and experimental modeling results of periodically correlated random processes (PCRP) are presented. Representation through stationary random processes is used for construction of PCRP model. Dependence of PCRP modeling accuracy on parameters of correlation functions of stationary components is investigated. The offered algorithm of PCRP parametric modeling is suitable for generating signals with rhythmic structure.

References

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