| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1707149 | Applied Mathematical Modelling | 2006 | 12 Pages |
Abstract
The characteristic functional (c.fl.) of a doubly stochastic Poisson process (DSPP) is studied and it provides us the finite dimensional distributions of the process and so its moments. It is also studied the case of a DSPP which intensity is a narrow-band process. The Karhunen–Loève expansion of its intensity is used to obtain the probability distribution function and a decomposition of this Poisson process. The covariance derived from the general c.fl. is applied in this particular DSPP.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
P.R. Bouzas, M.J. Valderrama, A.M. Aguilera,
