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.
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