Particle Filters for Random Set Models

Language: English

Published by Springer, 2015

148998884X / 9781489988843

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.

Seller Inventory # 9781489988843

Title
Particle Filters for Random Set Models
Author
Branko Ristic
Publisher
Springer
Publication year
2015
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
148998884X
ISBN 13
9781489988843
Item weight
295 grams
Dimensions
235x155x11 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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