A rigorous treatment of the essential mathematical structure of network synthesis problems, written by an eminent researcher in the field.
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Dante Youla is a Presidential Fellow of the New York University Polytechnic School of Engineering, and a Professor Emeritus of the Department of Electrical and Computer Engineering. He has been awarded the IEEE Circuits and Systems Society Vitold Belevitch Award for his fundamental contributions to the field, and the Youla–Kučera parametrization is named after him. He is a Fellow of the National Academy of Engineering, and a Fellow of the IEEE.
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Hardcover. Condición: new. Hardcover. Exploring the overlap of mathematics and engineering network synthesis, this book presents a rigorous treatment of the key principles underpinning linear lumped passive time-invariant networks. Based around a series of lectures given by the author, this thoughtfully written book draws on his wide experience in the field, carefully revealing the essential mathematical structure of network synthesis problems. Topics covered include passive n-ports, broadband matching, the design of passive multiplexes and two-state passive devices. It also includes material not usually found in existing texts, such as the theoretical behavior of transverse electromagnetic (TEM) coupled transmission lines. Introducing fundamental principles in a formal theorem-proof style, illustrated by worked examples, this book is an invaluable resource for graduate students studying linear networks and circuit design, academic researchers, and professional circuit engineers. Written by an eminent researcher, this book presents a rigorous treatment of the key principles underpinning the synthesis of linear lumped passive time-invariant networks. Introducing fundamental principles in a formal theorem-proof style, accompanied by worked examples, it is suitable for electrical engineering graduate students, academic researchers and professional circuit engineers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781107122864
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