Periodically non-stationary random processes modeling: Approach on the basis of harmonic representation

Ihor Javorskyj, I. Kravets, I. Isayev, S. Brooks
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Abstract

Theoretical and experimental results of time series modeling are summarized. Special attention is given to periodically correlated random processes (PCRP). It is suggested to use the parametric modeling methods on the basis of PCRP decomposition on stationary processes for construction of the process model. Proposed parametrical model is helpful for veriflcation the efficiency of devices and systems with periodical character of sources.
周期非平稳随机过程建模:基于调和表示的方法
总结了时间序列建模的理论和实验结果。特别关注周期性相关随机过程(PCRP)。建议采用基于平稳过程PCRP分解的参数化建模方法构建过程模型。提出的参数化模型有助于验证具有周期性源特性的设备和系统的效率。
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