It is a great honor to provide a few words of introduction for Dr. Georges Gielen's and Prof. Willy Sansen's book "Symbolic analysis for automated design of analog integrated circuits". The symbolic analysis method presented in this book represents a significant step forward in the area of analog circuit design. As demonstrated in this book, symbolic analysis opens up new possibilities for the development of computer-aided design (CAD) tools that can analyze an analog circuit topology and automatically size the components for a given set of specifications. Symbolic analysis even has the potential to improve the training of young analog circuit designers and to guide more experienced designers through second-order phenomena such as distortion. This book can also serve as an excellent reference for researchers in the analog circuit design area and creators of CAD tools, as it provides a comprehensive overview and comparison of various approaches for analog circuit design automation and an extensive bibliography. The world is essentially analog in nature, hence most electronic systems involve both analog and digital circuitry. As the number of transistors that can be integrated on a single integrated circuit (IC) substrate steadily increases over time, an ever increasing number of systems will be implemented with one, or a few, very complex ICs because of their lower production costs.
Reihe
Auflage
Softcover reprint of the original 1st ed. 1991
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Research
Illustrationen
Maße
Höhe: 235 mm
Breite: 155 mm
Dicke: 17 mm
Gewicht
ISBN-13
978-1-4613-6769-7 (9781461367697)
DOI
10.1007/978-1-4615-3962-9
Schweitzer Klassifikation
Ali Safa (Member, IEEE) received the M.Sc. degree (highest honors) in electrical engineering from the ULB-VUB, Brussels, Belgium. He joined imec and Katholieke Universiteit Leuven (KU Leuven) in 2020, where he is currently pursuing a Ph.D. degree in AI-driven processing for extreme edge applications. He has been a visiting researcher at UC San Diego, La Jolla, USA during Spring 2023. He has authored or co-authored more than 30 papers in international journals and conference proceedings. His research interests include neuromorphic AI, continual learning, and sensor fusion for robot perception.
Lars Keuninckx received the M.Eng. degree in telecommunications from Hogeschool Gent, Ghent, Belgium, in 1996, and a B.Sc. in physics and the Ph.D. degree in engineering from Vrije Universiteit Brussel, Brussels, Belgium, in 2009 and 2016, respectively. After his engineering studies, he worked in the industry for several years, designing electronics for automotive, industrial, and medical applications. He joined IMEC, Leuven, in 2019, wherehe is currently Principal Member of Technical Staff in the design of neuromorphic systems. His research interests include the applications of complex dynamics and reservoir computing.
Georges G.E Gielen (Fellow, IEEE) received the MSc and PhD degrees in Electrical Engineering from the Katholieke Universiteit Leuven (KU Leuven), Belgium, in 1986 and 1990, respectively. He currently is Full Professor in the MICAS research division at the Department of Electrical Engineering (ESAT) at KU Leuven. Since 2020 he is Chair of the Department of Electrical Engineering. His research interests are in the design of analog and mixed-signal integrated circuits, and especially in analog and mixed-signal CAD tools and design automation. He is a frequently invited speaker/lecturer and coordinator/partner of several (industrial) research projects in this area, including several European projects. He has (co-)authored 10 books and more than 600 papers in edited books, international journals and conference proceedings. He is a 1997 Laureate of the Belgian Royal Academy of Sciences, Literature and Arts in the discipline of Engineering. He is Fellow of the IEEE since 2002, and received the IEEE CAS Mac Van Valkenburg award in 2015 and the IEEE CAS Charles Desoer award in 2020. He is an elected member of the Academia Europaea.
Francky Catthoor (Fellow, IEEE) received a Ph.D. in electrical engineering from KU Leuven, Belgium in 1987. Between 1987 and 2000, he has headed several research domains in the area of synthesis techniques and architectural methodologies. Since 2000 he is strongly involved in other activities at IMEC including co-exploration of application, computer architecture and deep submicron technology aspects, biomedical systems and IoT sensor nodes, and photo-voltaic modules combined with renewable energy systems, all at IMEC Leuven, Belgium. Currently, he is an IMEC senior fellow. He is also part-time full professor at the Electrical Engineering department of the KU Leuven (ESAT).
1. Introduction to Analog Design Automation.- 1.1. Introduction.- 1.2. Definitions in analog design automation.- 1.3. Characteristics of analog design.- 1.4. Needs for analog circuits and analog design automation.- 1.5. Different analog design approaches and analog silicon compilation.- 1.6. Analog system-level synthesis.- 1.7. Outline of the book.- 2. The Automated Design of Analog Functional Modules.- 2.1. Introduction.- 2.2. Classification of analog module design programs.- 2.3. An automated design methodology for analog modules.- 2.4. The methodology applied to a simple example.- 2.5. Discussion of and comparison with other analog design systems.- 2.6. Conclusions.- 3. Symbolic Simulation of Analog Integrated Circuits.- 3.1. Introduction.- 3.2. Definition and scope of symbolic simulation.- 3.3. Applications of symbolic analysis in analog design.- 3.4. General description of the ISAAC program.- 3.5. Conclusions.- 4. Algorithmic Aspects of Linear Symbolic Simulation.- 4.1. Introduction.- 4.2. Overview of symbolic analysis techniques.- 4.3. The set-up of the linear circuit equations.- 4.4. The symbolic solution of sets of linear equations.- 4.5. Symbolic expression approximation.- 4.6. Performance of the ISAAC program.- 4.7. Conclusions.- 5. Symbolic Distortion Analysis.- 5.1. Introduction.- 5.2. Symbolic noise analysis.- 5.3. Symbolic analysis of harmonic distortion in weakly nonlinear analog circuits.- 5.4. Symbolic sensitivity analysis and zero/pole extraction.- 5.5. Techniques for the hierarchical symbolic analysis of large circuits.- 5.6. Conclusions.- 6. Analog Design Optimization Based on Analytic Models.- 6.1. Introduction.- 6.2. Circuit sizing based on an optimization of analytic models.- 6.3. The analog design formulation in OPTIMAN.- 6.4. Practical design examples.- 6.5. Automated layout generation of analog integrated circuits.- 6.6. Conclusions.- Appendix A. Characterization of a CMOS Two-Stage OPAMP.- References.
