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Robert Grover Brown - Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises - 9780470609699 - V9780470609699
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Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises

€ 309.25
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Description for Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises Hardcover. 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. Num Pages: 400 pages, Illustrations. BIC Classification: TJK. Category: (P) Professional & Vocational. Dimension: 180 x 258 x 19. Weight in Grams: 708.

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 ... Read more

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Product Details

Format
Hardback
Publication date
2012
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
400
Condition
New
Number of Pages
400
Place of Publication
New York, United States
ISBN
9780470609699
SKU
V9780470609699
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About Robert Grover Brown
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.

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