An Introduction to Kalman Filtering with MATLAB Examples

by Andreas Spanias, Mahesh Banavar, Narayan Kovvali

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The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and... This description may be from another edition of this product.

Format:Paperback

Language:English

ISBN:1627051392

ISBN13:9781627051392

Release Date:October 2013

Publisher:Morgan & Claypool

Length:81 Pages

Weight:0.35 lbs.

Dimensions:0.2" x 7.5" x 9.3"

Related Subjects

Computers Computers & Technology Engineering Technology

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An Introduction to Kalman Filtering with MATLAB Examples

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