Overview
- Provides a valuable introduction to ultra-low power circuit design, aimed at the practicing design engineer
- Describes all key building blocks of ultra-low power circuits, from a systems perspective
- Applies circuits and systems described to real product examples such as hearing aids and capsule endoscopes
- Includes supplementary material: sn.pub/extras
Part of the book series: Analog Circuits and Signal Processing (ACSP, volume 85)
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About this book
This book describes the design of CMOS circuits for ultra-low power consumption including analog, radio frequency (RF), and digital signal processing circuits (DSP). The book addresses issues from circuit and system design to production design, and applies the ultra-low power circuits described to systems for digital hearing aids and capsule endoscope devices.
- Provides a valuable introduction to ultra-low power circuit design, aimed at practicing design engineers;
- Describes all key building blocks of ultra-low power circuits, from a systems perspective;
- Applies circuits and systems described to real product examples such as hearing aids and capsule endoscopes.
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Keywords
Table of contents (10 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Ultra-Low Power Integrated Circuit Design
Book Subtitle: Circuits, Systems, and Applications
Editors: Nianxiong Nick Tan, Dongmei Li, Zhihua Wang
Series Title: Analog Circuits and Signal Processing
DOI: https://doi.org/10.1007/978-1-4419-9973-3
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4419-9972-6Published: 23 October 2013
Softcover ISBN: 978-1-4939-5218-2Published: 23 August 2016
eBook ISBN: 978-1-4419-9973-3Published: 23 October 2013
Series ISSN: 1872-082X
Series E-ISSN: 2197-1854
Edition Number: 1
Number of Pages: X, 232
Number of Illustrations: 130 b/w illustrations, 80 illustrations in colour
Topics: Circuits and Systems, Electronics and Microelectronics, Instrumentation, Signal, Image and Speech Processing