Paper data
Title:
A Particle filtering Technique for Jump Markov Systems Author(s): Davy Manuel, Irccyn Andrieu Christophe, University of Bristol Doucet Arnaud, university of Melbourne Page numbers in the proceedings: Volume II pp 319-322 Session: Applications of Particle Filtering in Communications (2/2)
Paper abstract
This paper presents a particle filtering strategy in order to estimate the state of Jump Markov Systems (JMS). These processes are often met in signal communications, when the Bayesian model changes with time. Our algorithm takes advantage of the structure of the process.
Paper
|