Anywhere-Anytime Signals and Systems Laboratory | Buch | 978-1-68173-449-1 | sack.de

Buch, Englisch, 272 Seiten, Paperback, Format (B × H): 190 mm x 235 mm

Reihe: Synthesis Lectures on Signal Processing

Anywhere-Anytime Signals and Systems Laboratory

From MATLAB to Smartphones
2. Auflage 2018
ISBN: 978-1-68173-449-1
Verlag: Morgan & Claypool Publishers

From MATLAB to Smartphones

Buch, Englisch, 272 Seiten, Paperback, Format (B × H): 190 mm x 235 mm

Reihe: Synthesis Lectures on Signal Processing

ISBN: 978-1-68173-449-1
Verlag: Morgan & Claypool Publishers


A typical undergraduate electrical engineering curriculum incorporates a signals and systems course. The widely used approach for the laboratory component of such courses involves the utilization of MATLAB to implement signals and systems concepts. This lecture series book presents a newly developed laboratory paradigm where MATLAB codes are made to run on smartphones, which most students already possess. This smartphone-based approach enables an anywhere-anytime platform for students to conduct signals and systems experiments. This book covers the laboratory experiments that are normally covered in signals and systems courses and discusses how to run MATLAB codes for these experiments on both Android and iOS smartphones, thus enabling a truly mobile laboratory environment for students to learn the implementation aspects of signals and systems concepts.

A zipped file of the codes discussed in the book can be acquired via the website.
Anywhere-Anytime Signals and Systems Laboratory jetzt bestellen!

Autoren/Hrsg.


Weitere Infos & Material


- 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


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, machine learning, and biomedical image analysis. He has authored or co-authored more than 370 publications and nine other books pertaining to signal and image processing, and regularly teaches the signals and systems laboratory course, for which this book was developed. 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.

Prof. José M. F. Moura joined CMU in 1986 as a Professor of Electrical and Computer Engineering. Currently he holds also a courtesy appointment as Professor with the Department of BioMedical Engineering. Prior to joining CMU, he was on the faculty at Instituto Superior Técnico (IST), the Engineering School of the Technical University of Lisbon (Portugal). He has had visiting faculty appointments at MIT: in 1984-86 as Genrad Associate Professor of Electrical and Computer Engineering (visiting) and in 1999-2000 as visiting Professor of Electrical Engineering. He was also a visiting Research Scholar at the University of Southern California in the Summers of 1979-1981. He received his D.Sc. in Electrical Engineering and Computer Science from MIT where he also received his MSc. in Electrical Engineering and the Electrical Engineering degree. He holds a Licenciatura em Engenharia Electrotécnica from IST.


Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.