MATLAB and Simulink Based Books

Kalman Filter for Beginners: With MATLAB Examples

Written for students and engineers, this book provides comprehensive coverage of the Kalman filter and its applications. The book starts with recursive filters and the basics of Kalman filters, and gradually expands to applications for nonlinear systems through extended and unscented Kalman filters. Topics include average filters, low-pass filters, estimation processes, and estimating velocity from position.

MATLAB is used to solve numerous examples in the book. In addition, a supplemental set of MATLAB code files is available for download.

About This Book

Phil Kim, National Rehabilitation Research Institute of Korea

Phil Kim, 2011

ISBN: 978-1463648350
Language: English

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