| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1181362 | Chemometrics and Intelligent Laboratory Systems | 2008 | 7 Pages |
Abstract
Particle filtering is a Monte Carlo simulation method designed to approximate non-linear filters that estimate and track the state of a dynamic system. We present the general principle of these algorithms and show the wide domain of applications using some examples.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Georges Oppenheim, Anne Philippe, Jean de Rigal,