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Current-Mode Analog Nonlinear Function Synthesizer Structures - Hardcover

Popa, Cosmin Radu

 
9783319010342: Current-Mode Analog Nonlinear Function Synthesizer Structures
Hardcover
ISBN 10: 3319010344 ISBN 13: 9783319010342
Verlag: Springer, 2013

Inhaltsangabe

This book is dedicated to the analysis and design of analog CMOS nonlinear function synthesizer structures, based on original superior-order approximation functions. A variety of analog function synthesizer structures are discussed, based on accurate approximation functions. Readers will be enabled to implement numerous circuit functions with applications in analog signal processing, including exponential, Gaussian or hyperbolic functions. Generalizing the methods for obtaining these particular functions, the author analyzes superior-order approximation functions, which represent the core for developing CMOS analog nonlinear function synthesizers.

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Über die Autorin bzw. den Autor

Cosmin Radu Popa has appointed during his teaching activity, in the following positions (obtained from national contests): assistant professor (1997-2004), lecturer (2004-2012), associate professor (2012-2014) and professor (2014-to date) at the Faculty of Electronics, Telecommunications and Information Technology Bucharest from National University of Science and Technology Politehnica Bucharest, Romania. He is the course titular for the following disciplines: Analog Integrated Circuits, Circuits Intégrés, Electronic Devices and Circuits, Design Techniques for Analog VLSI Structures, Computer Aided Design of Microelectronic Circuits and Fundamentals of Electronics from the academic year 2003/2004 to date. His courses were taught in Romanian language, also in English and French languages, Cosmin Radu Popa teaching in his career many multinational student teams.
Cosmin Radu Popa has a research experience of over 29 years and a full time postdoctoral research experience of over 21 years, having an independent scientific and research activity of large international visibility. The most important results of this research activity has been focused in the publication as single author of four monographs at SPRINGER Publishing House (Superior-Order Curvature-Correction Techniques for Voltage References (2009 year), Synthesis of Computational Structures for Analog Signal Processing (2011 year), Current-Mode Analog Nonlinear Function Synthesizer Structures (2013 year) and Analog Current-Mode Computational Circuits for Artificial Neural Networks (2025 year), also of other 5 books in the field of analysis and design of VLSI CMOS analog integrated circuits, as well as in the coordination of 7 research projects obtained in CEEX, IDEAS, CNCSIS and POSDRU competitions, or in participation as a member of the research team in other 14 research projects.

Von der hinteren Coverseite

This book is dedicated to the analysis and design of analog CMOS nonlinear function synthesizer structures, based on original superior-order approximation functions. A variety of analog function synthesizer structures are discussed, based on accurate approximation functions. Readers will be enabled to implement numerous circuit functions with applications in analog signal processing, including exponential, Gaussian or hyperbolic functions. Generalizing the methods for obtaining these particular functions, the author analyzes superior-order approximation functions, which represent the core for developing CMOS analog nonlinear function synthesizers.

· Describes novel methods for generating a multitude of circuit functions, based on superior-order improved accuracy approximation functions;

· Presents techniques for analog function synthesizers that can be applied easily to a wide variety of analog signal processing circuits;

· Enables the design of analog signal processing circuits with reduced complexity, low-voltage, low-power operation, real-time operation, and multifunctionality.

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Verlag
Springer
Erscheinungsdatum
2013
Sprache
Englisch
ISBN 10 
3319010344
ISBN 13 
9783319010342
Einband
Gebundene Ausgabe
Anzahl der Seiten
212
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