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Particle Filters for Random Set Models
Particle Filters for Random Set Models
Author: Branko Ristic
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 arou...  more »
ISBN-13: 9781489988843
ISBN-10: 148998884X
Publication Date: 3/19/2013
Pages: 174
Edition: 2013
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Publisher: Springer
Book Type: Paperback
Other Versions: Hardcover
Members Wishing: 0
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