This book covers various VLSI circuit noise effects and VLSI noise processing circuit implementations. All materials are organized in am unified framework with VLSI noise modeling and noise processing circuits across various VLSI signal domains.

This is a texbook developed for a VLSI circuit design course series (EEE598) that the author has been offering in the Schools of Engineering at Arizona State University. The materials are organized into eighteen special topics covering the principles, the circuit design techniques and the applications of VLSI modulation in signal processing, data conversion, power amplification and power management.

Computer arithmetic has become so fundamentally embedded into digital design that many engineers are unaware of the many research advances in the area. As a result, they are losing out on emerging opportunities to optimize its use in targeted applications and technologies. In many cases, easily available standard arithmetic hardware might not necessarily be the most efficient implementation strategy. Multiple-Base Number System: Theory and Applications stands apart from the usual books on computer arithmetic with its concentration on the uses and the mathematical operations associated with the recently introduced multiple-base number system (MBNS). The book identifies and explores several diverse and never-before-considered MBNS applications (and their implementation issues) to enhance computation efficiency, specifically in digital signal processing (DSP) and public key cryptography. Despite the recent development and increasing popularity of MBNS as a specialized tool for high-performance calculations in electronic hardware and other fields, no single text has compiled all the crucial, cutting-edge information engineers need to optimize its use. The authors’ main goal was to disseminate the results of extensive design research—including much of their own—to help the widest possible audience of engineers, computer scientists, and mathematicians. Dedicated to helping readers apply discoveries in advanced integrated circuit technologies, this single reference is packed with a wealth of vital content previously scattered throughout limited-circulation technical and mathematical journals and papers—resources generally accessible only to researchers and designers working in highly specialized fields. Leveling the informational playing field, this resource guides readers through an in-depth analysis of theory, architectural techniques, and the latest research on the subject, subsequently laying the groundwork users require to begin applying MBNS.

The wireless revolution has come upon us swiftly and powerfully. Today one of the most challenging areas for VLSI designers is VLSI circuit and system design for wireless applications. The design of a cellular radio system involves several engineering disciplines ranging from communication theory and digital signal processing to high frequency semiconductor technology and circuit design. Furthermore, the new generation of wireless systems, which includes multimedia, puts severe constraints on performance, cost, size, power and energy. VLSI designers now need to understand both wireless communication and mixed signal design. Mixed Signal VLSI Wireless Design: Circuits and Systems provides the designer with an overview of wireless communication systems, followed by a detailed treatment of related topics such as the mobile radio, digital modulation and schemes, spread spectrum and receiver architectures. The second half of the book deals with VLSI design issues related to mixed-signal design. These include analog-to-digital conversion, transceiver design, digital low-power techniques, amplifier design, phase-locked loops and frequency synthesizers. Mixed Signal VLSI Wireless Design: Circuits and Systems is written for use in advanced level courses and also serves as a basic reference for professional engineers.

Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamás Roska are both highly respected pioneers in the field.