Particle Filters for Random Set Models

Branko Ristic

ISBN 10: 1461463157 / ISBN 13: 9781461463153

Verlag: Springer New York, Springer New York, 2013

Beschreibung

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.

Bestandsnummer des Verkäufers 9781461463153

Bibliografische Details

• Titel: Particle Filters for Random Set Models
• Verlag: Springer New York, Springer New York
• Erscheinungsjahr: 2013
• Sprache: Englisch
• ISBN-10: 1461463157
• ISBN-13: 9781461463153
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

Branko Ristic is at the Defence Science and Technology Organisation, Australia

Defence Science and Technology Organisation, Australia