Name: Particle Filters for Random Set Models
SKU: 59636507
Price: 4329.00 TWD
Availability: InStock
Author: Ristic, Branko
ISBN: 9781489988843

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portada Particle Filters for Random Set Models

Type

Physical Book

Author

Branko Ristic

Publisher

Springer

Language

English

Pages

174

Format

Paperback

Dimensions

23.4x15.6x1 cm

Weight

0.27 kg.

ISBN13

9781489988843

Synopsis "Particle Filters for Random Set Models"

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.

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Particle Filters for Random Set Models - Ristic, Branko

Synopsis "Particle Filters for Random Set Models"

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