Cited by 1,321Error Correcting Code TechniquesCoding theory and cryptographyAdvanced Data Compression Techniques

Estimates of error rates for codes on burst-noise channels

Elliott, E. O.·1963·Bell System Technical Journal

Abstract

The error structure on communication channels used for data transmission may be so complex as to preclude the feasibility of accurately predicting the performance of given codes when employed on these channels. Use of an approximate error rate as an estimate of performance allows the complex statistics of errors to be reduced to a manageable table of parameters and used in an economical evaluation of large collections of error detecting codes. Exemplary evaluations of error detecting codes on the switched telephone network are included in this paper. On channels which may be represented by Gilbert's model of a burst-noise channel, the probabilities of error or of retransmission may be calculated without approximations for both error correcting and error detecting codes

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Crossref · 10.1002/j.1538-7305.1963.tb00955.x

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  • The Gilbert-Elliot model is extensively used to represent bursty error patterns in transmission channels.

    “The Gilbert–Elliot (GE) [26,27] is extensively used to represent ‘bursty’ error patterns in transmission channels, allowing analysis of the transmission efficiency, such as how many errors an error-recovery scheme detects and corrects induced in its channel.”

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Authors
Elliott, E. O.
Corresponding author
Elliott, E. O.
Venue
Bell System Technical Journal
Published
1963-09
Volume
42
Issue
5
Pages
1977-1997
ISSN
0005-8580 (ISSN-L)
OpenAlex
W2153623795
Cited by
1,321
References
0
Citations by year
2026: 34 · 2025: 25 · 2024: 24 · 2023: 31 · 2022: 32 · 2021: 40 · 2020: 44 · 2019: 40 · 2018: 46 · 2017: 30 · 2016: 29 · 2015: 44 · 2014: 56 · 2013: 57 · 2012: 63
FWCI
15.28
Type
journal article
Language
en
Open access
closed
Locations
Bell System Technical Journal (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Error Correcting Code Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Coding theory and cryptography
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Data Compression Techniques
Keywords
error rate estimation, error detection codes, error-correcting codes, Gilbert model, public switched telephone network, retransmission probability

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