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Nonlinear Circuit Simulation and Modeling
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Table of Contents

1. Linear and nonlinear circuits; 2. Basic nonlinear microwave circuit analysis techniques; 3. Linear behavioral models in the frequency domain: S-parameters; 4. Nonlinear frequency domain behavioral models; 5. Linear device modeling; 6. Nonlinear device modeling; 7. Nonlinear microwave CAD tools in a power amplifier design example.

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A practical, tutorial guide to the nonlinear methods and techniques needed to design real-world microwave circuits.

About the Author

Jose Carlos Pedro is a Professor of Electrical Engineering at Universidade de Aveiro, Portugal, and a Senior Researcher at Instituto de Telecomunicacoes, Portugal, and a Fellow of the IEEE. David E. Root is Keysight Research Fellow at Keysight Technologies, Inc., and a Fellow of the IEEE. He is a co-author of X-Parameters (Cambridge, 2013) and a co-editor of Nonlinear Transistor Model Parameter Extraction Techniques (Cambridge, 2011). Jianjun Xu is Senior Device Modeling R&D Engineer at Keysight Technologies, Inc. Luis Cotimos Nunes is a radio-frequency Research Assistant at Instituto de Telecomunicacoes, Universidade de Aveiro, Portugal.

Reviews

'This is a remarkable book in every way that is important: clear, professional, and with good coverage of its subject. With the importance of nonlinearity in modern wireless circuit and system design, this book should be on every engineer's bookshelf.' Steve Maas, Nonlinear Technologies, Inc.
'A much needed foundational and pedagogical treatment of how modern nonlinear approaches include and transcend their more familiar but overly restrictive linear precursors. Presented from multiple mathematical and conceptual perspectives, this book opens the door for both a richer theoretical understanding and a more confident application to real-world design challenges confronting today's engineers.' Jay Alexander, Chief Technology Officer, Keysight Technologies
'With the advent of more powerful computers, the importance of models in almost every sphere of engineering and science has continued to grow rapidly. The promise of being able to more easily and more accurately represent the non-linear effects of the real world and therefore design higher performing products more quickly is within our grasp. But it is rare to find a book which brings together the collection of knowledge to both understand and practice the new skills required to embrace and succeed with non-linear modeling - but this one does. The use of practical examples and the many visualizations of non-linear behaviour further help to cement fundamental conclusions. While the theory is presented, the book clearly demonstrates how this can be transferred into practical application with modern CAD tools. In an age where artificial intelligence and machine learning are all in vogue, linking models to physical processes helps engineers to pinpoint and address area for improvement in the real world.' Mark Pierpoint, Senior Vice President, Keysight Technologies
'This is a remarkable book in every way that is important: clear, professional, and with good coverage of its subject. With the importance of nonlinearity in modern wireless circuit and system design, this book should be on every engineer's bookshelf.' Steve Maas, Nonlinear Technologies, Inc.
'A much needed foundational and pedagogical treatment of how modern nonlinear approaches include and transcend their more familiar but overly restrictive linear precursors. Presented from multiple mathematical and conceptual perspectives, this book opens the door for both a richer theoretical understanding and a more confident application to real-world design challenges confronting today's engineers.' Jay Alexander, Chief Technology Officer, Keysight Technologies
'With the advent of more powerful computers, the importance of models in almost every sphere of engineering and science has continued to grow rapidly. The promise of being able to more easily and more accurately represent the non-linear effects of the real world and therefore design higher performing products more quickly is within our grasp. But it is rare to find a book which brings together the collection of knowledge to both understand and practice the new skills required to embrace and succeed with non-linear modeling - but this one does. The use of practical examples and the many visualizations of non-linear behaviour further help to cement fundamental conclusions. While the theory is presented, the book clearly demonstrates how this can be transferred into practical application with modern CAD tools. In an age where artificial intelligence and machine learning are all in vogue, linking models to physical processes helps engineers to pinpoint and address area for improvement in the real world.' Mark Pierpoint, Senior Vice President, Keysight Technologies

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