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.
1. Introduction to Residue Number System: Structure and Teaching Methodology
2. RNS-based Embedded Processor Design
3. Non Modular Operations of the Residue Number System: Functions for Computing
4. Fault-Tolerant Computing in Redundant Residue Number System
5. Decimal Floating Point Number System
6. Design and Evaluation of Booth-Encoded Multipliers in Redundant Binary Representation
7. Robust Analog Arithmetic Based on the Continuous Valued Number System
8. RNS Applications in Digital Signal Processing
9. RNS-based Image Processing
10. Logarithmic Number System and its Application in FIR Filter Design
11. Double-Base Number System and its Application in FIR Filter Design
12. RNS-based Public-Key Cryptography (RSA and ECC)
13. RNS Approach in Lattice-based Cryptography
14. RNS Applications in Computer Networks
Amir Sabbagh Molahosseini received the B.Sc. degree from Shahid Bahonar University of Kerman, Iran in 2005,ló„
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