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About this book
Real-time or applied digital signal processing courses are offered as follow-ups to conventional or theory-oriented digital signal processing courses in many engineering programs for the purpose of teaching students the technical know-how for putting signal processing algorithms or theory into practical use. These courses normally involve access to a teaching laboratory that is equipped with hardware boards, in particular DSP boards, together with their supporting software. A number of textbooks have been written discussing how to achieve real-time implementation on these hardware boards. This book discusses how smartphones can be used as hardware boards for real-time implementation of signal processing algorithms as an alternative to the hardware boards that are currently being used in signal processing teaching laboratories. The fact that mobile devices, in particular smartphones, have now become powerful processing platforms has led to the development of this book, thus enabling students to use their own smartphones to run signal processing algorithms in real-time considering that these days nearly all students possess smartphones. Changing the hardware platforms that are currently used in applied or real-time signal processing courses to smartphones creates a truly mobile laboratory experience or environment for students. In addition, it relieves the cost burden associated with using a dedicated signal processing board noting that the software development tools for smartphones are free of charge and are well-developed. This book is written in such a way that it can be used as a textbook for applied or real time digital signal processing courses offered at many universities. Ten lab experiments that are commonly encountered in such courses are covered in the book. This book is written primarily for those who are already familiar with signal processing concepts and are interested in their real-time and practical aspects. Similar to existing real-time courses, knowledge of C programming is assumed. This book can also be used as a self-study guide for those who wish to become familiar with signal processing app development on either Android or iPhone smartphones. All the lab codes can be obtained as a software package from http://sites.fastspring.com/bookcodes/product/bookcodes
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the authors
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 atDallas in 2015 and 2019, respectively. His research interests include signal and image processing, and real-time implementation of signal and image processing algorithms.
Bibliographic Information
Book Title: Smartphone-Based Real-Time Digital Signal Processing
Authors: Nasser Kehtarnavaz, Shane Parris, Abhishek Sehgal
Series Title: Synthesis Lectures on Signal Processing
DOI: https://doi.org/10.1007/978-3-031-02537-2
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 6
Copyright Information: Springer Nature Switzerland AG 2015
eBook ISBN: 978-3-031-02537-2Published: 10 November 2022
Series ISSN: 1932-1236
Series E-ISSN: 1932-1694
Edition Number: 1
Number of Pages: IV, 157
Topics: Engineering, general, Electrical Engineering, Signal, Image and Speech Processing