Introduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises
Brown, Robert Grover; Hwang, Patrick Y. C.
Language: English
Published by Wiley (edition 4), 2012
- Hardcover
- Used
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- Title
- Introduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises
- Author
- Brown, Robert Grover; Hwang, Patrick Y. C.
- Publisher
- Wiley (edition 4)
- Publication year
- 2012
- Condition
- Very Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0470609699
- ISBN 13
- 9780470609699
- Edition
- 4.
Introduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises, 4th Edition
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.
"Synopsis" may belong to another edition of this title.
About the Author
Robert Grover Brown, Professor Emeritus, Iowa State University.
Patrick Y. C. Hwang, Rockwell Collins, Inc.
"About the title" may belong to another edition of this title.
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