Introduction to Kalman Filtering with MATLAB Examples

Häftad, Engelska, 2013

Del i serien Synthesis Lectures on Signal Processing

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Beskrivning

The Kalman filter is the Bayesian optimum solution to the problem of sequentially estimating the states of a dynamical system in which the state evolution and measurement processes are both linear and Gaussian.

Produktinformation

Utgivningsdatum:2013-10-15
Mått:191 x 235 x 6 mm
Vikt:176 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Signal Processing
Antal sidor:71
Förlag:Springer International Publishing AG
ISBN:9783031014086
Originaltitel:An Introduction to Kalman Filtering with MATLAB Examples

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Mer om författaren

Nasser Kehtarnavaz is a Professor of Electrical Engineering at the University of Texas at Dallas. He has written four other books and numerous papers pertaining to signal and image processing, and regularly teaches undergraduate and graduate signal and image processing courses. Among his many professional activities, he is currently serving as Coeditor-in-Chief of Journal of Real-Time Image Processing , and Chair of the Dallas Chapter of the IEEE Signal Processing Society. Dr. Kehtarnavaz is a Fellow of SPIE, a Senior Member of IEEE, and a Professional Engineer.Shane Parris received his B.S. in Electrical Engineering from University of Texas at Dallas in 2013. His research interests include signal and image processing, and real-time implementation of signal and image processing algorithms.Abhishek Sehgal received his B.E. in Instrumentation Technology from Visvesvaraya Technological University in India in 2012, his M.S. and Ph.D. in Electrical Engineering at the University of Texas at Dallas in 2015 and 2019, respectively. His research interests include signal and image processing, and real-time implementation of signal and image processing algorithms.

Innehållsförteckning

Acknowledgments.- Introduction.- The Estimation Problem.- The Kalman Filter.- Extended and Decentralized Kalman Filtering.- Conclusion.- Notation.- Bibliography.- Authors' Biographies.