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Paper data
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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
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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
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A PDF version is available here

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