An Introduction to Kalman Filtering with MATLAB Examples

Author:   Narayan Kovvali ,  Mahesh Banavar ,  Andreas Spanias
Publisher:   Springer International Publishing AG
ISBN:  

9783031014086


Pages:   71
Publication Date:   15 October 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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An Introduction to Kalman Filtering with MATLAB Examples


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Author:   Narayan Kovvali ,  Mahesh Banavar ,  Andreas Spanias
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Weight:   0.179kg
ISBN:  

9783031014086


ISBN 10:   3031014081
Pages:   71
Publication Date:   15 October 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

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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.

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