Paper Title

A Low Power Fault Tolerant Reversible Decoder Using MOS Transistor

Authors

M. Raj Lahari , K. Neeharika

Keywords

Decoder, Delay, Garbage Output, Low Power Design, Quantum Cost, Reversible & Fault Tolerant Computing.

Abstract

This paper demonstrates the reversible logic synthesis for the n-to-2n decoder, where n is the number of data bits.The circuits are designed using only reversible fault tolerant Fredkin and Feynman double gates. Thus, the entire scheme inherently becomes fault tolerant. Algorithm for designing the generalized decoder has been presented. In addition, several lower bounds on the number of constant inputs, garbage outputs and quantum cost of the reversible fault tolerant decoder have been proposed. Transistor simulations of the proposed decoder are shown using standard p-MOS 901 and n-MOS 902 model with delay of 0.030 ns and 0.12 μm channel length, which proved the functional correctness of the proposed circuits. The comparative results show that the proposed design is much better in terms of quantum cost, delay, hardware complexity and has significantly better scalability than the existing approach.

How To Cite

"A Low Power Fault Tolerant Reversible Decoder Using MOS Transistor", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 6, page no.142 - 147, June-2016, Available :https://ijsdr.org/papers/IJSDR1606029.pdf

Issue

Volume 1 Issue 6, June-2016

Pages : 142 - 147

Other Publication Details

Paper Reg. ID: IJSDR_160509

Published Paper Id: IJSDR1606029

Downloads: 000347319

Research Area: Engineering

Country: Unknown, Unknown, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1606029

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1606029

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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