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SRAM Design for Wireless Sensor Networks - Energy Efficient and Variability Resilient Techniques (Paperback, 2013 ed.) Loot Price: R3,436
Discovery Miles 34 360
SRAM Design for Wireless Sensor Networks - Energy Efficient and Variability Resilient Techniques (Paperback, 2013 ed.): Vibhu...

SRAM Design for Wireless Sensor Networks - Energy Efficient and Variability Resilient Techniques (Paperback, 2013 ed.)

Vibhu Sharma, Francky Catthoor, Wim Dehaene

Series: Analog Circuits and Signal Processing

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Loot Price R3,436 Discovery Miles 34 360 | Repayment Terms: R322 pm x 12*

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This book features various, ultra low energy, variability resilient SRAM circuit design techniques for wireless sensor network applications. Conventional SRAM design targets area efficiency and high performance at the increased cost of energy consumption, making it unsuitable for computation-intensive sensor node applications. This book, therefore, guides the reader through different techniques at the circuit level for reducing energy consumption and increasing the variability resilience. It includes a detailed review of the most efficient circuit design techniques and trade-offs, introduces new memory architecture techniques, sense amplifier circuits and voltage optimization methods for reducing the impact of variability for the advanced technology nodes.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Analog Circuits and Signal Processing
Release date: August 2014
First published: 2013
Authors: Vibhu Sharma • Francky Catthoor • Wim Dehaene
Dimensions: 235 x 155 x 10mm (L x W x T)
Format: Paperback
Pages: 172
Edition: 2013 ed.
ISBN-13: 978-1-4899-9215-4
Languages: English
Subtitles: English
Categories: Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > WAP (wireless) technology
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LSN: 1-4899-9215-4
Barcode: 9781489992154

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