Handbook Of Digital Cmos Technology Circuits And Systems


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Handbook of Digital CMOS Technology, Circuits, and Systems


Handbook of Digital CMOS Technology, Circuits, and Systems

Author: Karim Abbas

language: en

Publisher: Springer Nature

Release Date: 2020-01-14


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This book provides a comprehensive reference for everything that has to do with digital circuits. The author focuses equally on all levels of abstraction. He tells a bottom-up story from the physics level to the finished product level. The aim is to provide a full account of the experience of designing, fabricating, understanding, and testing a microchip. The content is structured to be very accessible and self-contained, allowing readers with diverse backgrounds to read as much or as little of the book as needed. Beyond a basic foundation of mathematics and physics, the book makes no assumptions about prior knowledge. This allows someone new to the field to read the book from the beginning. It also means that someone using the book as a reference will be able to answer their questions without referring to any external sources.

The Art and Science of Microelectronic Circuit Design


The Art and Science of Microelectronic Circuit Design

Author: Anatoly Belous

language: en

Publisher: Springer Nature

Release Date: 2022-02-10


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This book guides readers through the entire complex of interrelated theoretical and practical aspects of the end-to-end design and organization of production of silicon submicron integrated circuits. The discussion includes the theoretical foundations of the operation of field-effect- and bipolar transistors, the methods and peculiarities of the structural and schematic design, basic circuit-design and system-design engineering solutions for bipolar, CMOS, BiCMOS and TTL integrated circuits, standard design libraries, and typical design flows.

Handbook of Neural Computation


Handbook of Neural Computation

Author: Emile Fiesler

language: en

Publisher: CRC Press

Release Date: 2020-01-15


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The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl


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