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Synopsis
The Fourth Edition to the Introduction of Random Signals and Applied Kalman Filtering is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade. The text updates both the research advances in variations on the Kalman filter algorithm and adds a wide range of new application examples. Several chapters include a significant amount of new material on applications such as simultaneous localization and mapping for autonomous vehicles, inertial navigation systems and global satellite navigation systems.
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About the Author
Robert Grover Brown and Patrick Y. C. Hwang are the authors of Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises, 4th Edition, published by Wiley.
"About this title" may belong to another edition of this title.
- PublisherWiley
- Publication date2012
- ISBN 10 0470609699
- ISBN 13 9780470609699
- BindingHardcover
- LanguageEnglish
- Edition number4
- Number of pages400
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Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises
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Introduction to Random Signals and Applied Kalman Filtering With MATLAB Exercises
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Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises 4th Edition
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Introduction to Random Signals and Applied Kalman Filtering With MATLAB Exercises
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Introduction to Random Signals and Applied Kalman Filtering With MATLAB Exercises
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Introduction to Random Signals and Applied Kalman Filtering
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Gebunden. Condition: New. The Fourth Edition to the Introduction of Random Signals and Applied Kalman Filtering is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade. The text updates both the resea. Seller Inventory # 556556600
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Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2012
ISBN 10: 0470609699
ISBN 13: 9780470609699
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Hardcover. Condition: new. Hardcover. Advances in computers and personal navigation systems have greatly expanded the applications of Kalman filters. A Kalman filter uses information about noise and system dynamics to reduce uncertainty from noisy measurements. Common applications of Kalman filters include such fast-growing fields as autopilot systems, battery state of charge (SoC) estimation, brain-computer interface, dynamic positioning, inertial guidance systems, radar tracking, and satellite navigation systems. Brown and Hwang's bestselling textbook introduces the theory and applications of Kalman filters for senior undergraduates and graduate students. This revision updates both the research advances in variations on the Kalman filter algorithm and adds a wide range of new application examples. The book emphasizes the application of computational software tools such as MATLAB. The companion website includes M-files to assist students in applying MATLAB to solving end-of-chapter homework problems. The Fourth Edition to the Introduction of Random Signals and Applied Kalman Filtering is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780470609699
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Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2012
ISBN 10: 0470609699
ISBN 13: 9780470609699
New
Hardcover
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. Advances in computers and personal navigation systems have greatly expanded the applications of Kalman filters. A Kalman filter uses information about noise and system dynamics to reduce uncertainty from noisy measurements. Common applications of Kalman filters include such fast-growing fields as autopilot systems, battery state of charge (SoC) estimation, brain-computer interface, dynamic positioning, inertial guidance systems, radar tracking, and satellite navigation systems. Brown and Hwang's bestselling textbook introduces the theory and applications of Kalman filters for senior undergraduates and graduate students. This revision updates both the research advances in variations on the Kalman filter algorithm and adds a wide range of new application examples. The book emphasizes the application of computational software tools such as MATLAB. The companion website includes M-files to assist students in applying MATLAB to solving end-of-chapter homework problems. The Fourth Edition to the Introduction of Random Signals and Applied Kalman Filtering is updated to cover innovations in the Kalman filter algorithm and the proliferation of Kalman filtering applications from the past decade. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780470609699
Quantity: 1 available