Computational Intelligence in Analog and Mixed-Signal (AMS) and Radio-Frequency (RF) Circuit Design, Softcover reprint of the original 1st ed. 2015

This book explains the application of recent advances in computational intelligence ? algorithms, design methodologies, and synthesis techniques ? to the design of integrated circuits and systems. It highlights new biasing and sizing approaches and optimization techniques and their application to the design of high-performance digital, VLSI, radio-frequency, and mixed-signal circuits and systems.

This first of two related volumes addresses the design of analog and mixed-signal (AMS) and radio-frequency (RF) circuits, with 17 chapters grouped into parts on analog and mixed-signal applications, and radio-frequency design. It will be of interest to practitioners and researchers in computer science and electronics engineering engaged with the design of electronic circuits.

I-Flows: A Novel Approach to Computational Intelligence for Analog Circuit Design Automation Through Symbolic Data Mining and Knowledge-Intensive Reasoning.- Automatic Synthesis of Analog Integrated Circuits Including Efficient Yield Optimization.- Application of Computational Intelligence Techniques to Maximize Unpredictability in Multiscroll Chaotic Oscillators.- Optimization and Cosimulation of an Implantable Telemetric System by Linking System Models to Nonlinear Circuits.- Framework for Formally Verifying Analog and Mixed Signal Designs.- Automatic Layout Optimizations for Integrated MOSFET Power Stages.- Optimizing Model Precision in High Temperatures for Efficient Analog and Mixed-Signal Circuit Design Using Modern Behavioral Modeling Techniques: an Industrial Case Study.- Nonlinearities Behavioral Modeling and Analysis of Pipelined ADC Building Blocks.- SMAS: A Generalized and Efficient Framework for Computationally Expensive Electronic Design Optimization Problems.- Computational Intelligence Techniques for Determining Optimal Performance Tradeoffs for RF inductors.- RF IC Performance Optimization by Synthesizing Optimum Inductors.- Optimization of RF On-Chip Inductors Using Genetic Algorithms.- Automated System-Level Design for Reliability: RF Front-End Application.- The Backtracking Search for the Optimal Design of Low-Noise Amplifiers.- Design of Telecommunications Receivers Using Computational Intelligence Techniques.- Enhancing Automation in RF Design Using Hardware Abstraction.- Optimization Methodology Based on IC Parameter for the Design of Radio-Frequency Circuits in CMOS Technology.