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IEEE Transactions on Computers
Article . 1995 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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CA-based byte error-correcting code

CA-based byte error-correcting code.
Authors: Indranil Sen Gupta; Dipanwita Roy Chowdhury; P.P. Chaudhuri;

CA-based byte error-correcting code

Abstract

Summary: This paper reports a novel approach for designing byte error-correcting codes using Cellular Automata (CA). A simple scheme for generation and decoding of Single-byte Error-Correcting and Double-byte Error-Detecting codes, referred to as CA-SbEC-DbED, is presented. Extension of the scheme to locate/correct larger number of information byte errors has been also included. The encoding and decoding algorithms have been designed with the help of a linear operator that can be conveniently realized with a maximum length group CA. The regular, modular and cascadable structure of CA can be economically built with VLSI technology. Compared to the existing architecture of the Reed-Solomon decoder chip, CA-based implementation of the proposed decoding scheme provides a simple cost effective solution.

Keywords

Cellular automata (computational aspects), signature analysis, fault tolerance, Reliability, testing and fault tolerance of networks and computer systems

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Average
Top 10%
Top 10%
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