Performance Comparison of Short-Length Error-Correcting Codes
We compare the performance of short-length linear binary codes on the binary erasure channel and the binary-input Gaussian channel. We use a universal decoder that can decode any linear binary block code: Gaussian-elimination based Maximum-Likelihood decoder on the erasure channel and probabilistic...
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creator | Van Wonterghem, J Alloum, A Boutros, J. J Moeneclaey, M |
description | We compare the performance of short-length linear binary codes on the binary
erasure channel and the binary-input Gaussian channel. We use a universal
decoder that can decode any linear binary block code: Gaussian-elimination
based Maximum-Likelihood decoder on the erasure channel and probabilistic
Ordered Statistics Decoder on the Gaussian channel. As such we compare codes
and not decoders. The word error rate versus the channel parameter is found for
LDPC, Reed-Muller, Polar, and BCH codes at length 256 bits. BCH codes
outperform other codes in absence of cyclic redundancy check. Under joint
decoding, the concatenation of a cyclic redundancy check makes all codes
perform very close to optimal lower bounds. |
doi_str_mv | 10.48550/arxiv.1609.07907 |
format | Article |
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erasure channel and the binary-input Gaussian channel. We use a universal
decoder that can decode any linear binary block code: Gaussian-elimination
based Maximum-Likelihood decoder on the erasure channel and probabilistic
Ordered Statistics Decoder on the Gaussian channel. As such we compare codes
and not decoders. The word error rate versus the channel parameter is found for
LDPC, Reed-Muller, Polar, and BCH codes at length 256 bits. BCH codes
outperform other codes in absence of cyclic redundancy check. Under joint
decoding, the concatenation of a cyclic redundancy check makes all codes
perform very close to optimal lower bounds.</description><identifier>DOI: 10.48550/arxiv.1609.07907</identifier><language>eng</language><subject>Computer Science - Information Theory ; Mathematics - Information Theory</subject><creationdate>2016-09</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1609.07907$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1609.07907$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Van Wonterghem, J</creatorcontrib><creatorcontrib>Alloum, A</creatorcontrib><creatorcontrib>Boutros, J. J</creatorcontrib><creatorcontrib>Moeneclaey, M</creatorcontrib><title>Performance Comparison of Short-Length Error-Correcting Codes</title><description>We compare the performance of short-length linear binary codes on the binary
erasure channel and the binary-input Gaussian channel. We use a universal
decoder that can decode any linear binary block code: Gaussian-elimination
based Maximum-Likelihood decoder on the erasure channel and probabilistic
Ordered Statistics Decoder on the Gaussian channel. As such we compare codes
and not decoders. The word error rate versus the channel parameter is found for
LDPC, Reed-Muller, Polar, and BCH codes at length 256 bits. BCH codes
outperform other codes in absence of cyclic redundancy check. Under joint
decoding, the concatenation of a cyclic redundancy check makes all codes
perform very close to optimal lower bounds.</description><subject>Computer Science - Information Theory</subject><subject>Mathematics - Information Theory</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj81KxDAUhbNxIaMP4Mq-QGp-2ptkMQsp4w8UFJx9SZObmcK0GW6L6NtbR1cHDh-H8zF2J0VZ2boWD56-hs9SgnClME6Ya7Z9R0qZRj8FLJo8nj0Nc56KnIqPY6aFtzgdlmOxI8rEm0yEYRmmw8pGnG_YVfKnGW__c8P2T7t988Lbt-fX5rHlHozhpgpgQTmRKmecRlEj9laFBGvhlcVeqiB7CTFaHaIEvQIAUffCuaiV3rD7v9nL_-5Mw-jpu_v16C4e-gcb9EKT</recordid><startdate>20160926</startdate><enddate>20160926</enddate><creator>Van Wonterghem, J</creator><creator>Alloum, A</creator><creator>Boutros, J. J</creator><creator>Moeneclaey, M</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20160926</creationdate><title>Performance Comparison of Short-Length Error-Correcting Codes</title><author>Van Wonterghem, J ; Alloum, A ; Boutros, J. J ; Moeneclaey, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a677-74c686290f49793e05eeb82cf6f49a28eb12c1b16dd83cd1635ee66d3b099d323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Computer Science - Information Theory</topic><topic>Mathematics - Information Theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Van Wonterghem, J</creatorcontrib><creatorcontrib>Alloum, A</creatorcontrib><creatorcontrib>Boutros, J. J</creatorcontrib><creatorcontrib>Moeneclaey, M</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Van Wonterghem, J</au><au>Alloum, A</au><au>Boutros, J. J</au><au>Moeneclaey, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance Comparison of Short-Length Error-Correcting Codes</atitle><date>2016-09-26</date><risdate>2016</risdate><abstract>We compare the performance of short-length linear binary codes on the binary
erasure channel and the binary-input Gaussian channel. We use a universal
decoder that can decode any linear binary block code: Gaussian-elimination
based Maximum-Likelihood decoder on the erasure channel and probabilistic
Ordered Statistics Decoder on the Gaussian channel. As such we compare codes
and not decoders. The word error rate versus the channel parameter is found for
LDPC, Reed-Muller, Polar, and BCH codes at length 256 bits. BCH codes
outperform other codes in absence of cyclic redundancy check. Under joint
decoding, the concatenation of a cyclic redundancy check makes all codes
perform very close to optimal lower bounds.</abstract><doi>10.48550/arxiv.1609.07907</doi><oa>free_for_read</oa></addata></record> |
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subjects | Computer Science - Information Theory Mathematics - Information Theory |
title | Performance Comparison of Short-Length Error-Correcting Codes |
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