Low Power Circuits for Emerging Applications in Communications, Computing, and Sensing
By Krzysztof Iniewski and Fei Yuan
"Low Power Circuits for Emerging Applications in Communications, Computing, and Sensing" is published by Taylor & Francis Group in 2018 - Boca Raton, it has 99999 pages and the language of the book is English.
“Low Power Circuits for Emerging Applications in Communications, Computing, and Sensing” Metadata:
- Title: ➤ Low Power Circuits for Emerging Applications in Communications, Computing, and Sensing
- Authors: Krzysztof IniewskiFei Yuan
- Language: English
- Number of Pages: 99999
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Publish Location: Boca Raton
“Low Power Circuits for Emerging Applications in Communications, Computing, and Sensing” Subjects and Themes:
- Subjects: ➤ Integrated circuits - Low voltage integrated circuits - Digital electronics - Circuits intégrés à faible consommation - Électronique numérique - TECHNOLOGY & ENGINEERING - Mechanical
Edition Identifiers:
- The Open Library ID: OL28922803M - OL21353219W
- Online Computer Library Center (OCLC) ID: 1078688558
- Library of Congress Control Number (LCCN): 2020692700
- ISBN-13: 9781138580015 - 9780429017698 - 9780429507564
- All ISBNs: 9781138580015 - 9780429017698 - 9780429507564
AI-generated Review of “Low Power Circuits for Emerging Applications in Communications, Computing, and Sensing”:
"Low Power Circuits for Emerging Applications in Communications, Computing, and Sensing" Description:
Open Data:
"The book addresses the need to investigate new approaches to lower energy requirement in multiple application areas and serves as a guide into emerging circuit technologies. It explores revolutionary device concepts, sensors, and associated circuits and architectures that will greatly extend the practical engineering limits of energy-efficient computation. The book responds to the need to develop disruptive new system architecutres, circuit microarchitectures, and attendant device and interconnect technology aimed at achieving the highest level of computational energy efficiency for general purpose computing systems"--
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