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An Improved Markov Random Field Design Approach For Digital Circuits (Paperback) Loot Price: R1,288
Discovery Miles 12 880
An Improved Markov Random Field Design Approach For Digital Circuits (Paperback): Jahanzeb Anwer, Nor Hisham Bin Hamid, Vijanth...

An Improved Markov Random Field Design Approach For Digital Circuits (Paperback)

Jahanzeb Anwer, Nor Hisham Bin Hamid, Vijanth Sagayan Asirvadam

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Loot Price R1,288 Discovery Miles 12 880 | Repayment Terms: R121 pm x 12*

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As the MOSFET dimensions scale down to nanoscale level, the reliability of circuits based on these devices decreases. Therefore, a mechanism has to be devised that can make the nanoscale systems perform reliably using unreliable circuit components. The solution is fault-tolerant circuit design. Markov Random Field (MRF) is an effective approach that achieves fault-tolerance in integrated circuit design. The previous research on this technique suffers from limitations at the design, simulation and implementation levels. As improvements, the MRF fault-tolerance rules have been validated for a practical circuit example. The simulation framework is extended from thermal to a combination of thermal and random telegraph signal noise sources to provide a more rigorous noise environment for the simulation of nanoscale circuits. Moreover, an architecture-level improvement has been proposed in the design of previous MRF gates. The re-designed MRF is termed as Improved-MRF. By simulating various test circuits in Cadence, it is found that Improved-MRF circuits are 400 whereas MRF circuits are only 10 times more noise-tolerant than the CMOS alternatives.

General

Imprint: Lap Lambert Academic Publishing
Country of origin: Germany
Release date: May 2011
First published: May 2011
Authors: Jahanzeb Anwer • Nor Hisham Bin Hamid • Vijanth Sagayan Asirvadam
Dimensions: 229 x 152 x 5mm (L x W x T)
Format: Paperback - Trade
Pages: 88
ISBN-13: 978-3-8443-3263-6
Categories: Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General
LSN: 3-8443-3263-4
Barcode: 9783844332636

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