Local computation in codes

T. Kaufman
{"title":"Local computation in codes","authors":"T. Kaufman","doi":"10.1109/CIG.2010.5592932","DOIUrl":null,"url":null,"abstract":"A locally testable code allows one to store vast amounts of data, where estimating the fraction of errors in the data takes roughly as much time as takes to read one bit of the data! If the fraction of errors is below a certain threshold, a locally decodeable code would allow one to recover every bit of the original message, again, in time which is roughly the time to read one bit of the data. Are such locally testable/decodeable codes of constant rate possible? So far we don't know, but surprisingly-good codes are known. Following, we survey some of the literature and discuss a connection between these notions to symmetric LDPC codes.","PeriodicalId":354925,"journal":{"name":"2010 IEEE Information Theory Workshop","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Information Theory Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIG.2010.5592932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A locally testable code allows one to store vast amounts of data, where estimating the fraction of errors in the data takes roughly as much time as takes to read one bit of the data! If the fraction of errors is below a certain threshold, a locally decodeable code would allow one to recover every bit of the original message, again, in time which is roughly the time to read one bit of the data. Are such locally testable/decodeable codes of constant rate possible? So far we don't know, but surprisingly-good codes are known. Following, we survey some of the literature and discuss a connection between these notions to symmetric LDPC codes.
代码中的局部计算
本地可测试的代码允许存储大量数据,估计数据中错误的比例所花费的时间与读取一个数据位所花费的时间大致相同!如果错误的比例低于一定的阈值,那么本地可解码的代码将允许人们恢复原始消息的每一位,同样,时间大致是读取一个数据位的时间。这种恒定速率的局部可测试/可解码的代码可能吗?到目前为止我们还不知道,但令人惊讶的是,好的代码是已知的。接下来,我们回顾了一些文献,并讨论了这些概念与对称LDPC码之间的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信