Title :
Probabilistic analysis of electromagnetic phenomena with stochastic periodicity
Author :
Iavors´kyj, I. ; Mykhajlyshyn, Viktor
Author_Institution :
Karpenko Phys.-Mech. Inst., Acad. of Sci., Lvov, Ukraine
Abstract :
Both rough recurrence and stochasticity are characteristic features of time changeability of many electromagnetic phenomena. Investigations of stochastic oscillations on the basis of nonstationary random processes of certain classes-periodically correlated, bi-, poly-, and almost periodically correlated-contribute to a wider understanding of oscillation physics. The authors study the probabilistic structure of stochastic recurrence phenomena on the basis of periodically correlated random processes. They develop the methodology and discuss application to the investigation of the probabilistic structure of physical processes
Keywords :
correlation methods; electromagnetic oscillations; electromagnetism; probability; stochastic processes; transient analysis; electromagnetic phenomena; nonstationary random processes; periodically correlated random processes; probabilistic analysis; rough recurrence; stochastic oscillations; stochastic periodicity; stochastic recurrence phenomena; time changeability; Data processing; Delay estimation; Electromagnetic analysis; Electromagnetic forces; Frequency; Physics; Random processes; Statistical analysis; Stochastic processes; Stochastic systems;
Conference_Titel :
Mathematical Methods in Electromagnetic Theory, 1996., 6th International Conference on
Conference_Location :
Lviv
Print_ISBN :
0-7803-3291-1
DOI :
10.1109/MMET.1996.565705