Paul Jespers

The gm/ID Methodology, a sizing tool for low-voltage analog CMOS Circuits (eBook, PDF)

The semi-empirical and compact model approaches

• Format: PDF

Produktbeschreibung

This book provides a comprehensive overview of design methodologies for Analog Circuits, and includes a MATLAB dedicated toolbox. The MATLAB toolbox offers the possibility of performing virtual hands-on experiments related to MOS transistor physics as well as finding currents and transistor sizes for well-known CMOS circuits. The book's objective is to suggest straightforward methodologies at the earliest possible design stage and find currents and sizes very close to optimality. The methodology takes advantage of compact MOS models while following classical design procedures. This is also the first 'book' to present the gm/ID synthesis methodology to which an increasing number of papers refer. Finally, the users' guide, described in the annex, should enable the reader to run their own tests.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 171
• Erscheinungstermin: 1. Dezember 2009
• Englisch
• ISBN-13: 9780387471013
• Artikelnr.: 37287453

Autorenporträt

Dr. Paul Jespers is Professor Emeritus at UCL, Louvain-la-Neuf, Belgium, and has been visiting professor at Stanford ('67-'69) and UC Berkeley ('90-'91). He has co-authored several books, and in 2001 published "Integrated Digital-to-Analog and Analog-to-Digital Converters" which was published by Wiley (ISBN 0-19-856446-5)

Inhaltsangabe

Preface. Notations. Chapter 1. Sizing the Intrinsic Gain Stage. Chapter 2. The Charge Sheet Model revisited. Chapter 3. Graphical interpretation of the Charge Sheet Model. Chapter 4. Compact modeling. Chapter 5. The real transistor. Chapter 6. The real Intrinsic Gain Stage. Chapter 7. The common gate configuration. Chapter 8. Sizing the Miller Op. Amp. Annex 1. How to utilize the C.D. ROM data. Annex 2. The MATLAB toolbox. Annex 3. Temperature and Mismatch, from C.S.M. to E.K.V. Annex 4. E.K.V. intrinsic capacitance models. Bibliography. Index.