DocumentCode :
2690915
Title :
Modelling the interaction of stochastic systems with electromagnetic fields
Author :
Sy, Ousmane O. ; Vaessen, Jean-Pierre ; Michielsen, Bas L. ; van Beurden, Martijn C. ; Tijhuis, Anton G.
Author_Institution :
Eindhoven Univ. of Technol.
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
931
Lastpage :
934
Abstract :
The analysis presented in this paper, shows how the basic statistics in the interaction of stochastic systems with electromagnetic fields, i.e., the average and the variance of linear observables, can be computed from the probability distributions defining the stochastic geometry. The most difficult part in this computation is the construction of the covariance operator which requires the solution of a series of integral equations over the average geometry. The RHSs of these integral equations are determined by an expansion of the covariance operator of a regular field trace on the stochastic geometry. This determines the computational complexity of the probabilistic approach. In the presentation of this paper, some numerical experiments on concrete examples are shown, and the computational complexity of the probabilistic approach are investigated whether it also determines the minimal computational effort of the statistical approach
Keywords :
computational complexity; electromagnetic field theory; geometry; integral equations; statistical distributions; stochastic processes; stochastic systems; RHS; average geometry; basic statistics; computational complexity; covariance operator; electromagnetic fields; integral equations; linear observables; minimal computational effort; probability distributions; regular field trace; stochastic geometry; stochastic system interaction modelling; Analysis of variance; Computational complexity; Computational geometry; Electromagnetic analysis; Electromagnetic fields; Electromagnetic modeling; Information geometry; Integral equations; Statistical analysis; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
1-4244-0123-2
Type :
conf
DOI :
10.1109/APS.2006.1710683
Filename :
1710683
Link To Document :
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