Particle Filters for Random Set Models

Particle Filters for Random Set Models by Branko Ristic.

“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 statisti...

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Bibliographic Details
Main Author: Ristic, Branko (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Springer eBook Collection.
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Information theory.
Mathematical statistics.
Artificial intelligence.
Computational intelligence.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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