Introduction to Kalman Filtering with MATLAB Examples

Häftad, Engelska, 2013

AvNarayan Kovvali,Mahesh Banavar,Andreas Spanias

469 kr

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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

Utgivningsdatum2013-10-15
Mått191 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieSynthesis Lectures on Signal Processing
Antal sidor71
FörlagSpringer International Publishing AG
ISBN9783031014086
OriginaltitelAn Introduction to Kalman Filtering with MATLAB Examples

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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.