DocumentCode
2189041
Title
One algorithm for time-domain analysis of semi-Markov processes
Author
Jovanovic-Dolecek, Gordana ; Ibarra-Manzano, Oscar
Author_Institution
Dept. of Electron., INAOE, Puebla, Mexico
Volume
1
fYear
1997
fDate
3-6 Aug 1997
Firstpage
530
Abstract
This paper describes one algorithm of the time-domain analysis of a large class of stochastic processes, called semi-Markov processes, which are characterized by the Acyclic Signal Flow Graphs, (ASFG). This method is based on the minimization of the number of the convolutions. In that way the time domain analysis of ASFG can be efficiently achieved. MATLAB program was made as a support of this algorithm. The input data are the matrices of the ASFG and the output is the time gain of the ASFG
Keywords
Markov processes; computational complexity; computer aided analysis; minimisation; search problems; signal flow graphs; time-domain analysis; Acyclic Signal Flow Graphs; MATLAB program; algorithm; convolutions; input data; matrices; minimization; semi-Markov processes; stochastic processes; time gain; time-domain analysis; Algorithm design and analysis; Convolution; Delay systems; Flow graphs; MATLAB; Mathematical model; Minimization methods; Signal analysis; Stochastic processes; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location
Sacramento, CA
Print_ISBN
0-7803-3694-1
Type
conf
DOI
10.1109/MWSCAS.1997.666190
Filename
666190
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