Items related to 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.
"synopsis" may belong to another edition of this title.
About the Author
Branko Ristic is at the Defence Science and Technology Organisation, Australia
Defence Science and Technology Organisation, AustraliaFrom the Back Cover
“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 Carlo statistical method. The resulting algorithms, known as particle filters, in the last decade have become one of the essential tools for stochastic filtering, with applications ranging from navigation and autonomous vehicles to bio-informatics and finance.
While 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. These recent developments have dramatically widened the scope of applications, from single to multiple appearing/disappearing objects, from precise to imprecise measurements and measurement models.
This book is ideal for graduate students, researchers, scientists and engineers interested in Bayesian estimation.
"About this title" may belong to another edition of this title.
Buy New
View this item
£ 105.33
£ 2.38 shipping from Italy to United Kingdom
Destination, rates & speedsOther Popular Editions of the Same Title
Search results for Particle Filters for Random Set Models
Stock Image
Particle Filters for Random Set Models
Seller: Buchpark, Trebbin, Germany
Seller rating 5 out of 5 stars
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 188 | Sprache: Englisch | Produktart: Bücher. Seller Inventory # 23271958/1
Quantity: 1 available
Stock Image
Ristic:Particle Filters for Information (eng)
Print on DemandSeller: Brook Bookstore On Demand, Napoli, NA, Italy
Seller rating 5 out of 5 stars
Condition: new. Questo è un articolo print on demand. Seller Inventory # 17e2234a7ca992b37a481647b2442f70
Quantity: Over 20 available
Seller Image
Particle Filters for Random Set Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 19659422-n
Quantity: Over 20 available
Stock Image
Particle Filters for Random Set Models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781461463153_new
Quantity: Over 20 available
Seller Image
Particle Filters for Random Set Models
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 19659422-n
Quantity: Over 20 available
Seller Image
Particle Filters for Random Set Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 19659422
Quantity: Over 20 available
Seller Image
Particle Filters for Random Set Models
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 4199034
Quantity: Over 20 available
Stock Image
Particle Filters for Random Set Models
Published by
Springer-Verlag New York Inc., 2013
ISBN 10: 1461463157
ISBN 13: 9781461463153
New
Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 439. Seller Inventory # C9781461463153
Quantity: Over 20 available
Seller Image
Particle Filters for Random Set Models
Published by
Springer New York Apr 2013, 2013
ISBN 10: 1461463157
ISBN 13: 9781461463153
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9781461463153
Quantity: 2 available
Seller Image
Particle Filters for Random Set Models
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 19659422
Quantity: Over 20 available