ISBN: 9783319476100 - Kalman Filtering: With Real-time Applications (16 results)

Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
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Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
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Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
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Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
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Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
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Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
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Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
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Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications.…

Language: English
Published by Springer Verlag, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 5th edition. 247 pages. 9.25x6.25x0.75 inches. In Stock.

Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
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Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
- Print on Demand
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Language: English
Published by Springer International Publishing Mrz 2017, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
- Print on Demand
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications. 268 pp. Englisch.…

Language: English
Published by Springer International Publishing, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a rigorous and concise introduction to Kalman filtering, now expanded and fully updated in its 5th editionIncludes many end-of-chapters exercises, as well as a section at the end of the book with solutions and hintsAlso of interest.…

Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 260.

Language: English
Published by Springer, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
- Print on Demand
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Condition: New. PRINT ON DEMAND pp. 260.

Language: English
Published by Springer, Springer Mär 2017, 2017
Series: Book 2 of 5 - Springer Series in Information Sciences
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch.…