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Synopsis
This book addresses the task of circuit sizing optimization. A novel framework is introduced, based on time-domain analysis, genetic algorithm optimization, and distributed processing. The time-domain optimization methodology is based on the step response of the amplifier, which simplifies the circuit evaluation and helps the optimization process to converge faster. Complex and accurate device models (e.g. BSIM3v3) are integrated. The time-domain evaluation of the amplifier is used by the genetic algorithm optimization kernel, in the classification of the genetic individuals. Distributed processing is also employed to address the increasing processing time demanded by the complex circuit analysis, and the accurate models of the circuit devices. Platform assessment is carried by several examples, which have been optimized and successfully used, embedded, in larger systems, such as data converters. A dedicated example of an inverter-based self-biased two-stage amplifier has been designed, laid-out, fabricated, and experimentally evaluated. The measured results are a direct demonstration of the effectiveness of the proposed time-domain optimization methodology.
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About the Author
Born in 1975, in Portugal, Rui Santos-Tavares has been part of the Dep. of Electrical Engineering of FCT/UNL since 1998. His cientific area focus on design automation of analog circuits (EDA/CAD) at UNINOVA. Rui recieved Ph.D degree in Electrical Engineering (2010) and Master Degree in Computer Science (2001) from Universidade Nova de Lisboa (UNL).
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Time-Domain Optimization of CMOS Amplifiers
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LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 3847329251
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the task of circuit sizing optimization. A novel framework is introduced, based on time-domain analysis, genetic algorithm optimization, and distributed processing. The time-domain optimization methodology is based on the step response of the amplifier, which simplifies the circuit evaluation and helps the optimization process to converge faster. Complex and accurate device models (e.g. BSIM3v3) are integrated. The time-domain evaluation of the amplifier is used by the genetic algorithm optimization kernel, in the classification of the genetic individuals. Distributed processing is also employed to address the increasing processing time demanded by the complex circuit analysis, and the accurate models of the circuit devices. Platform assessment is carried by several examples, which have been optimized and successfully used, embedded, in larger systems, such as data converters. A dedicated example of an inverter-based self-biased two-stage amplifier has been designed, laid-out, fabricated, and experimentally evaluated. The measured results are a direct demonstration of the effectiveness of the proposed time-domain optimization methodology. 196 pp. Englisch. Seller Inventory # 9783847329251
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Time-Domain Optimization of CMOS Amplifiers
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Santos-Tavares RuiBorn in 1975, in Portugal, Rui Santos-Tavares has been part of the Dep. of Electrical Engineering of FCT/UNL since 1998. His cientific area focus on design automation of analog circuits (EDA/CAD) at UNINOVA. Rui rec. Seller Inventory # 5510449
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Time-Domain Optimization of CMOS Amplifiers | Based on Distributed Genetic Algorithms
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Taschenbuch. Condition: Neu. Time-Domain Optimization of CMOS Amplifiers | Based on Distributed Genetic Algorithms | Rui Santos-Tavares (u. a.) | Taschenbuch | 196 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847329251 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106662756
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Time-Domain Optimization of CMOS Amplifiers
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LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 3847329251
ISBN 13: 9783847329251
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book addresses the task of circuit sizing optimization. A novel framework is introduced, based on time-domain analysis, genetic algorithm optimization, and distributed processing. The time-domain optimization methodology is based on the step response of the amplifier, which simplifies the circuit evaluation and helps the optimization process to converge faster. Complex and accurate device models (e.g. BSIM3v3) are integrated. The time-domain evaluation of the amplifier is used by the genetic algorithm optimization kernel, in the classification of the genetic individuals. Distributed processing is also employed to address the increasing processing time demanded by the complex circuit analysis, and the accurate models of the circuit devices. Platform assessment is carried by several examples, which have been optimized and successfully used, embedded, in larger systems, such as data converters. A dedicated example of an inverter-based self-biased two-stage amplifier has been designed, laid-out, fabricated, and experimentally evaluated. The measured results are a direct demonstration of the effectiveness of the proposed time-domain optimization methodology.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 196 pp. Englisch. Seller Inventory # 9783847329251
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Time-Domain Optimization of CMOS Amplifiers : Based on Distributed Genetic Algorithms
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book addresses the task of circuit sizing optimization. A novel framework is introduced, based on time-domain analysis, genetic algorithm optimization, and distributed processing. The time-domain optimization methodology is based on the step response of the amplifier, which simplifies the circuit evaluation and helps the optimization process to converge faster. Complex and accurate device models (e.g. BSIM3v3) are integrated. The time-domain evaluation of the amplifier is used by the genetic algorithm optimization kernel, in the classification of the genetic individuals. Distributed processing is also employed to address the increasing processing time demanded by the complex circuit analysis, and the accurate models of the circuit devices. Platform assessment is carried by several examples, which have been optimized and successfully used, embedded, in larger systems, such as data converters. A dedicated example of an inverter-based self-biased two-stage amplifier has been designed, laid-out, fabricated, and experimentally evaluated. The measured results are a direct demonstration of the effectiveness of the proposed time-domain optimization methodology. Seller Inventory # 9783847329251
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Time-Domain Optimization of CMOS Amplifiers: Based on Distributed Genetic Algorithms
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