Embedded Systems Design with Special Arithmetic and Number Systems, Softcover reprint of the original 1st ed. 2017

This book introduces readers to alternative approaches to designing efficient embedded systems using unconventional number systems. The authors describe various systems that can be used for designing efficient embedded and application-specific processors, such as Residue Number System, Logarithmic Number System, Redundant Binary Number System Double-Base Number System, Decimal Floating Point Number System and Continuous Valued Number System. Readers will learn the strategies and trade-offs of using unconventional number systems in application-specific processors and be able to apply and design appropriate arithmetic operations from these number systems to boost the performance of digital systems.

Introduction to Residue Number System: Structure and Teaching Methodology.- RNS-based Embedded Processor Design.- Non Modular Operations of the Residue Number System: Functions for Computing.- Fault-Tolerant Computing in Redundant Residue Number System.- Decimal Floating Point Number System.- Design and Evaluation of Booth-Encoded Multipliers in Redundant Binary Representation.- Robust Analog Arithmetic Based on the Continuous Valued Number System.- RNS Applications in Digital Signal Processing.- RNS-based Image Processing.- Logarithmic Number System and its Application in FIR Filter Design.- Double-Base Number System and its Application in FIR Filter Design.- RNS-based Public-Key Cryptography (RSA and ECC).- RNS Approach in Lattice-based Cryptography.- RNS Applications in Computer Networks.

Amir Sabbagh Molahosseini received the B.Sc. degree from Shahid Bahonar University of Kerman, Iran in 2005, M.Sc. and Ph.D. degrees both with the highest honors from Science and Research Branch of Islamic Azad University, Tehran, Iran, in 2007 and 2010, all in computer engineering. He is an Assistant Professor in Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran, and leads the High-Performance Computer Arithmetic Group, since 2010. He was a visiting researcher in the Signal Processing Systems Group, INESC-ID, IST, University of Lisbon, Lisbon, Portugal. His current research interests are Computer Arithmetic with special emphasis on Residue Number Systems, and Alternative Computing Systems with emphasis on Approximate Computing.

Leonel Seabra de Sousa received a Ph.D. degree in Electrical and Computer Engineering from the Instituto Superior Técnico (IST), Universidade de Lisboa (UL), Lisbon, Portugal, in 1996, where he is currently Full Professor. He is also a Senior Researcher with the R&D Instituto de Engenharia de Sistemas e Computadores (INESC-ID). His research interests include VLSI architectures, parallel computing, and computer arithmetic. He has contributed to more than 200 papers in journals and international conferences, for which he got several awards, including: DASIP’13 Best Paper Award, SAMOS’11 ‘Stamatis Vassiliadis’ Best Paper Award, DASIP’10 Best Poster Award, and the Honorable Mention Award UTL/Santander Totta for the quality of the publications in 2009. He has contributed to the organization of several international conferences, namely as program chair and as general and topic chair, and has given keynotes in some of them. He has edited four special issues of international journals, and he is currently Associate Editor of the IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Access, IET Electronics Letters and Springer JRTIP, and E