Theory of Power Matching / SpringerBriefs in Electrical and Computer Engineering (PDF)
This book describes the development of the power matching problem. It starts with the derivative-free proof of conjugate matching, goes through the nonlinear, resistive maximum power theorem and its reversal, extension of the concept of...
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This book describes the development of the power matching problem. It starts with the derivative-free proof of conjugate matching, goes through the nonlinear, resistive maximum power theorem and its reversal, extension of the concept of equivalence in the case of nonlinear circuits, application of the nonlinear, and resistive maximum power theorem for diode measurement. The author treats practically important special cases of nonlinear, dynamic power matching with applications, and the most general solution that is not realizable.
- Discusses the derivative-free proof of conjugate matching, the problem of equivalence in nonlinear circuits;
- Covers applications of the theory presented, such as maximum power load of a microwave power amplifier, image parameter matching, and application of power matching for economical problems;
- Includes proof of existence of the scattering matrix and causality of linear, passive circuits;
- Includes a table containing all known formulae for power matching.
Dr. J. Ladvánszky has an MSc degree in electrical engineering from the Budapest University of Technology and Economics in 1978, and a PhD degree in microwave circuits from the Hungarian Academy of Sciences in 1988. He is just before defending his DSc degree in optics from the Hungarian Academy of Sciences. His present interest is circuit and system theory with microwave and optical applications.
- Autor: János Ladvánszky
- 2019, 1st ed. 2019, 76 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030166317
- ISBN-13: 9783030166311
- Erscheinungsdatum: 13.05.2019
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 2.08 MB
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