Anywhere-Anytime Signals and Systems Laboratory: From MATLAB to Smartphones, Third Edition: Synthesis Lectures on Signal Processing
Autor Fatemeh Saki, Adrian Duran, Arian Azarang, Nasser Kehtarnavazen Limba Engleză Paperback – 9 iul 2020
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Specificații
ISBN-13: 9783031014147
ISBN-10: 3031014146
Pagini: 256
Ilustrații: XIV, 256 p.
Dimensiuni: 191 x 235 mm
Ediția:3
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Signal Processing
Locul publicării:Cham, Switzerland
ISBN-10: 3031014146
Pagini: 256
Ilustrații: XIV, 256 p.
Dimensiuni: 191 x 235 mm
Ediția:3
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Signal Processing
Locul publicării:Cham, Switzerland
Cuprins
Preface.- Introduction to MATLAB.- Software Development Tools.- From MATLAB Coder to Smartphone.- Linear Time-Invariant Systems and Convolution.- Fourier Series.- Continuous-Time Fourier Transform.- Digital Signals and Their Transforms.- Authors' Biographies.- Index.
Notă biografică
Nasser Kehtarnavaz is an Erik Jonsson Distinguished Professor in the Department of Electrical and Computer Engineering at the University of Texas at Dallas. His research areas include signal and image processing, real-time processing on embedded processors, deep learning, and machine learning. He has authored or co-authored more than 400 publications and 9 other books pertaining to signal and image processing, and regularly teaches the signals and systems laboratory course, for which this book is written. Dr. Kehtarnavaz is a Fellow of IEEE, a Fellow of SPIE, and a licensed Professional Engineer.Fatemeh Saki received her Ph.D. in Electrical Engineering from the University of Texas at Dallas in 2017. She is currently a Senior R&D Engineer at Qualcomm. Her research interests include signal and image processing, pattern recognition, and machine learning. Dr. Saki has authored or co-authored 20 publications in these areas.Adrian Duran received his M.S. in Electrical Engineering from the University of Texas at Dallas in 2018. He is currently a Signal Processing Analyst at Innovative Signal Analysis, Inc. His research interests are signal and image processing, pattern recognition, and machine learning.Arian Azarangis a Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of Texas at Dallas. His research interests include signal and image processing,deep learning, remote sensing, and chaos theory. He has authored or co-authored 12 publications in these areas.