Title :
Signals with Probabilistic Descriptions, Functionally Dependent Within a Period, and Their Model
Author :
Matsiuk, A.V. ; Pryimak, M.V.
Author_Institution :
Ternopil State Tech. Univ., Ternopil
Abstract :
This paper introduces the new class of random processes, - the class of periodically correlated random processes with probabilistic descriptions, functionally dependent within a period. It presents the examples of signals (gas consumption, ambient temperature, considered within comparatively prolonged time intervals, - a season, year), which can be described by using this class of processes. Some applied problems have been considered, with their solutions being based on these processes.
Keywords :
correlation methods; random processes; signal processing; statistical analysis; ambient temperature; gas consumption; periodically correlated random processes; probabilistic descriptions; statistic analysis; stochastic periodicity; Character generation; Conferences; Data acquisition; Distributed information systems; Feedback; Galois fields; Information analysis; Information systems; Information technology; Symmetric matrices; ambient temperature; gas consumption; period; periodically correlated random processes; probabilistic descriptions; random processes; time intervals;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on
Conference_Location :
Dortmund
Print_ISBN :
978-1-4244-1347-8
Electronic_ISBN :
978-1-4244-1348-5
DOI :
10.1109/IDAACS.2007.4488428
