Automated Macromodelling for Simulation of Signals and Noise in MixedSignal/RF Systems
 Jaijeet Roychowdhury
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Abstract
During the design of electronic circuits and systems, particularly those for RF communications, the need to abstract a subsystem from a greater level of detail to one at a lower level of detail arises frequently. One important application is to generate simple, yet accurate, systemlevel macromodels that capture circuitlevel nonidealities such as distortion. In recent years, computational (“algorithmic”) techniques have been developed that are capable of automating this abstraction process for broad classes of differentialequationbased systems (including nonlinear ones). In this paper, we review the main ideas and techniques behind such algorithmic macromodelling methods.
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 Title
 Automated Macromodelling for Simulation of Signals and Noise in MixedSignal/RF Systems
 Book Title
 Analog Circuit Design
 Book Subtitle
 RF Circuits: Wide band, FrontEnds, DAC's, Design Methodology and Verification for RF and MixedSignal Systems, Low Power and Low Voltage
 Book Part
 Part II
 Pages
 pp 143167
 Copyright
 2006
 DOI
 10.1007/1402038852_8
 Print ISBN
 9781402038846
 Online ISBN
 9781402038853
 Publisher
 Springer Netherlands
 Copyright Holder
 Springer
 Additional Links
 Topics
 Industry Sectors
 eBook Packages
 Editors

 Michiel Steyaert ^{(1)}
 Johan H. Huijsing ^{(2)}
 Arthur H.M. van Roermund ^{(3)}
 Editor Affiliations

 1. Katholieke Universiteit Leuven
 2. Delft University of Technology
 3. Eindhoven University of Technology
 Authors

 Jaijeet Roychowdhury ^{(4)}
 Author Affiliations

 4. University of Minnesota, MN, Minneapolis, 55455
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