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Könyv Introduction to Kalman Filtering with MATLAB Examples Andreas Spanias

Introduction to Kalman Filtering with MATLAB Examples

Szerző: Andreas Spanias, Mahesh Banavar
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer International Publishing AG
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
11 756 Ft
The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the sta...

Információk a könyvről

Szerző
Andreas Spanias, Mahesh Banavar
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2013
oldal
71
EAN
9783031014086
ISBN
3031014081
Enbook ID
39295080
Kiadó
Springer International Publishing AG
Súly
179
Méretek
191 x 235 x 6

Teljes leírás

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 the Kalman filter is first presented, followed by examples showing its use in practical applications. Extensions of the method to nonlinear problems and distributed applications are discussed. A software implementation of the algorithm in the MATLAB programming language is provided, as well as MATLAB code for several example applications discussed in the manuscript.

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