Title of article
The particle filters and their applications
Author/Authors
Oppenheim، نويسنده , , Georges and Philippe، نويسنده , , Anne and de Rigal، نويسنده , , Jean، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2008
Pages
7
From page
87
To page
93
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.
Keywords
Dynamic System , Monte Carlo Method , Non-linear filtering , particle filter , Sequential Bayesian filtering
Journal title
Chemometrics and Intelligent Laboratory Systems
Serial Year
2008
Journal title
Chemometrics and Intelligent Laboratory Systems
Record number
1489249
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