Particle filters for random set models /

"Particle Filters for Random Set Models" presents coverage of state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or stochastic filtering. The class of solutions presented in this book is based  on the Monte Carl...

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Bibliografiske detaljer
Hovedforfatter: Ristic, Branko (Author)
Institution som forfatter: SpringerLink (Online service)
Format: eBog
Sprog:English
Udgivet: New York, NY Springer New York 2013.
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