Yield and Variability Optimization of Integrated Circuits

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

This text deals with the primary and theoretical and practical aspects of IC statistical design and covers the important issues of IC statistical design and the relevant mathematical framework. It describes a spectrum of different statistical circuit design problems, such as parametric yield optimization, generalized on-target design, variability minimization, performance tuning, and worst-case design. It also covers such topics as device statistical and worst-case modelling, design of experiments and factor screening, together with some basic tenets of fuzzy set theory and multi-objective statistical optimization. Several practical examples are used to familiarize the reader with the concepts, and demonstrate the applicability of various statistical circuit design methodologies. This book is intended as introductory reference material for various groups of IC designers, and the methodologies described provide an understanding of the complex problems of statistical circuit design, thus helping to enhance the overall quality of the ICs delivered to the customers.