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Hardcover Particle Filters for Random Set Models Book
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ISBN: 1461463157

ISBN13: 9781461463153

Particle Filters for Random Set Models

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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...

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Format: Hardcover

Condition: New

$159.99
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Related Subjects

Computers Computers & Technology Engineering Math Mathematics Science & Math Technology

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