Automatic Synthesis Of Cmos Algorithmic Analog To Digital Converter

Automatic Synthesis of CMOS Algorithmic Analog-to-digital Converter

Design Synthesis of Monolithic CMOS Operational Amplifiers

This research effort explores efficient methods for the design syn- thesis of monolithic CMOS operational amplifiers. A synthesis system has been developed. It, called OPASYN, takes as inputs system level specifications, fabrication-dependent technology parameters, and geometric layout rules. Based on the general domain of the specifications, the program first selects an appropriate circuit topology from a database using heuristic pruning of the decision tree. Optimal values for the set of design parameters of the chosen circuit are then determined so as to meet the sign objectives. Analytic models of several widely applicable operational amplifier circuit topologies have been developed to eliminate expensive circuit simulation and sensitivity analysis in the inner loop of the optimization step. Subsequently, design- rule-correct mask geometries are constructed using a macro cell layout style. Primitive circuit elements such as transistors, transistor pairs, and capa- citors are produced by parameterized leaf cell generators and assembled accord- ing to circuit-dependent slicing trees that guarantee sound arrangements of the individual components. The synthesis process if fast enough for the program to be interactively used at the system design level by system designers who are inexperienced in op amp design.

Microelectronic Design of Fuzzy Logic-Based Systems

Fuzzy logic has virtually exploded over the landscape of emerging technologies, becoming an integral part of myriad applications and a standard tool for engineers. Until recently, most of the attention and applications have centered on fuzzy systems implemented in software. But these systems are limited. Problems that require real-time operation, low area, or low power consumption demand hardware designed to the fuzzy paradigm - and engineers with the background and skills to design it. Microelectronic Design of Fuzzy Logic-Based Systems offers low-cost answers to issues that software cannot resolve. From the theoretical, architectural, and technological foundation to design tools and applications, it serves as your guide to effective hardware realizations of fuzzy logic. Review fuzzy logic theory and the basic issues of fuzzy sets, operators, and inference mechanisms Explore the trade-offs between efficient theoretical behavior and practical hardware realizations Discover the properties of the possible microelectronic realizations of fuzzy systems - conventional processors, fuzzy coprocessors, and fuzzy chips Investigate the design of fuzzy chips that implement the whole fuzzy inference method into silicon Analyze analog, digital, and mixed-signal techniques Reduce your design effort for fuzzy systems with CAD tools - learn the requirements they should meet and survey current environments. Put it all together - see examples and case studies illustrating how all of this is used to solve particular problems related to control and neuro-fuzzy applications