Articles liés à Particle Filters for Random Set Models
Synopsis
This book discusses 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 Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Branko Ristic is at the Defence Science and Technology Organisation, Australia
Defence Science and Technology Organisation, AustraliaLes informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Particle Filters for Random Set Models
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Particle Filters for Random Set Models
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Paperback. Etat : New. N° de réf. du vendeur 6666-IUK-9781489988843
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Particle Filters for Random Set Models
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Springer-Verlag New York Inc., 2015
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Particle Filters for Random Set Models
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Springer New York, 2015
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Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a hands-on engineering approach to filtering algorithms and their implementation Covers a new generation of particle filters, which are applicable to a much wider class of signal processing applications Includes sensor control for p. N° de réf. du vendeur 447929987
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Particle Filters for Random Set Models
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Springer New York, Springer New York, 2015
ISBN 10 : 148998884X
ISBN 13 : 9781489988843
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses 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 Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation. N° de réf. du vendeur 9781489988843
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Ristic:Particle Filters for Random Set (eng)
impression à la demandeVendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Particle Filters for Random Set Models
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Springer New York Mai 2015, 2015
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ISBN 13 : 9781489988843
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Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses 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 Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation. 188 pp. Englisch. N° de réf. du vendeur 9781489988843
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Particle Filters for Random Set Models
Edité par
Springer New York, Springer New York Mai 2015, 2015
ISBN 10 : 148998884X
ISBN 13 : 9781489988843
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -This bookdiscusses 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 Carlo statistical method. Although the resulting algorithms, known as particle filters, have been around for more than a decade, the recent theoretical developments of sequential Bayesian estimation in the framework of random set theory have provided new opportunities which are not widely known and are covered in this book. This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch. N° de réf. du vendeur 9781489988843
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Particle Filters for Random Set Models
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Particle Filters for Random Set Models
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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