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Introduction Kalman Filtering Matlab by Kovvali Narayan (13 results)
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An Introduction to Kalman Filtering with MATLAB Examples (Synthesis Lectures on Signal Processing)
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paperback. Condition: Good. Cover shows minor shelf wear, some light indentations. Pages are clean, text and pictures are intact and unmarred.
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Paperback or Softback. Condition: New. An Introduction to Kalman Filtering with MATLAB Examples 0.35. Book.
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An Introduction to Kalman Filtering with MATLAB Examples (Synthesis Lectures on Signal Processing)
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An Introduction to Kalman Filtering with MATLAB Examples
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An Introduction to Kalman Filtering with MATLAB Examples
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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An Introduction to Kalman Filtering with MATLAB Examples
Published by Springer International Publishing, Springer International Publishing, 2013
ISBN 10: 3031014081 ISBN 13: 9783031014086
Language: English
US$ 41.75
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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An Introduction to Kalman Filtering with MATLAB Examples
Published by Springer International Publishing, Springer International Publishing Okt 2013, 2013
ISBN 10: 3031014081 ISBN 13: 9783031014086
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 84 pp. Englisch.
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An Introduction to Kalman Filtering with MATLAB Examples
Published by Springer International Publishing Okt 2013, 2013
ISBN 10: 3031014081 ISBN 13: 9783031014086
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 41.75
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 84 pp. Englisch.
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An Introduction to Kalman Filtering with MATLAB Examples
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2013
ISBN 10: 3031014081 ISBN 13: 9783031014086
Language: English
US$ 38.66
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.
