Master the art of data converter design with this definitive textbook, a detailed and accessible introduction ideal for students and practicing engineers. Razavi's distinctive and intuitive pedagogical approach, building up from elementary components to complex systems. Step-by-step transistor-level designs and simulations offer a practical hands-on understanding of key design concepts. Comprehensive coverage of essential topics including sampling circuits, comparator design, digital-to-analog converters, flash topologies, SAR and pipelined architectures, time-interleaved converters, and oversampling systems. Over 250 examples pose thought-provoking questions, reinforcing core concepts and helping students develop confidence. Over 350 end-of-chapter homework problems to test student understanding, with solutions available for course instructors. Developed by leading author Behzad Razavi, and addressing all the principles and design concepts essential to today's engineers, this is the ideal text for senior undergraduate and graduate-level students and professional engineers who aspire to excel in data converter analysis and design.
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Behzad Razavi is a Professor of Electrical Engineering at The University of California, Los Angeles. He has received numerous teaching and education awards, has served as an IEEE Distinguished Lecturer, and is a member of the US National Academy of Engineering and a Fellow of the IEEE. His previous textbooks include Fundamentals of Microelectronics (2006, 2008, 2021), RF Microelectronics (1997), Design of Analog CMOS Integrated Circuits (2017) and Design of CMOS Phase-Locked Loops (2020).
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master data converter design with this definitive textbook. Razavi's intuitive pedagogical approach introduces step-by-step transistor-level designs and simulations, with 250+ examples and 350+ homework problems. Ideal for senior undergraduate and graduate students and professional engineers aspiring to excel in data converter design and analysis. Artikel-Nr. 9781009602235
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