Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises
Robert Grover Brown
ISBN 10: 0470609699 ISBN 13: 9780470609699
Published by John Wiley & Sons Inc, 2012
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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. . 2012. 4th Edition. Hardcover. . . . . Seller Inventory # V9780470609699
Synopsis:
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.
About the Author:
Robert Grover Brown, Professor Emeritus, Iowa State University.
Patrick Y. C. Hwang, Rockwell Collins, Inc.
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Bibliographic Details
Title: Introduction to Random Signals and Applied ...
Publisher: John Wiley & Sons Inc
Publication Date: 2012
Binding: Hardcover
Condition: New
Edition: 4th Edition
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Introduction to Random Signals and Applied Kalman Filtering (Hardcover)
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Hardcover. Condition: new. Hardcover. 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. 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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