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An Introduction to Kalman Filtering with MATLAB Ex... - a book by Nowatzki, Narayan

An Introduction to Kalman Filtering with MATLAB Examples

An Introduction to Kalman Filtering with MATLAB Examples( )
Author: Nowatzki, Narayan
Banavar, Manesh
Spanias, Andreas
Series title:Synthesis Lectures on Signal Processing Ser.
ISBN:978-1-62705-140-8
Publication Date:Sep 2013
Publisher:Morgan & Claypool Publishers
Book Format:Ebook
List Price:USD $120.00
Book Description:

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 Gaussian. Given the ubiquity of such systems, the Kalman filter finds use in a variety of applications, e.g., target tracking, guidance and navigation, and communications systems. The purpose of this book is to present a brief introduction to Kalman filtering. The theoretical framework of...
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Pages:81

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