References$(function(){PrimeFaces.cw("TieredMenu","widget_formSmash_upper_j_idt152",{id:"formSmash:upper:j_idt152",widgetVar:"widget_formSmash_upper_j_idt152",autoDisplay:true,overlay:true,my:"left top",at:"left bottom",trigger:"formSmash:upper:referencesLink",triggerEvent:"click"});}); $(function(){PrimeFaces.cw("OverlayPanel","widget_formSmash_upper_j_idt153_j_idt156",{id:"formSmash:upper:j_idt153:j_idt156",widgetVar:"widget_formSmash_upper_j_idt153_j_idt156",target:"formSmash:upper:j_idt153:permLink",showEffect:"blind",hideEffect:"fade",my:"right top",at:"right bottom",showCloseIcon:true});});

On the List-Decodability of Random Linear CodesPrimeFaces.cw("AccordionPanel","widget_formSmash_some",{id:"formSmash:some",widgetVar:"widget_formSmash_some",multiple:true}); PrimeFaces.cw("AccordionPanel","widget_formSmash_all",{id:"formSmash:all",widgetVar:"widget_formSmash_all",multiple:true});
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PrimeFaces.cw("AccordionPanel","widget_formSmash_responsibleOrgs",{id:"formSmash:responsibleOrgs",widgetVar:"widget_formSmash_responsibleOrgs",multiple:true}); 2011 (English)In: IEEE Transactions on Information Theory, ISSN 0018-9448, Vol. 57, no 2, 718-725 p.Article in journal (Refereed) Published
##### Abstract [en]

##### Place, publisher, year, edition, pages

2011. Vol. 57, no 2, 718-725 p.
##### Keyword [en]

Hamming bound, linear codes, list decoding, probabilistic method, random coding
##### National Category

Computer and Information Science
##### Identifiers

URN: urn:nbn:se:kth:diva-31347DOI: 10.1109/TIT.2010.2095170ISI: 000286514200010ScopusID: 2-s2.0-79251490359OAI: oai:DiVA.org:kth-31347DiVA: diva2:404462
#####

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#####

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PrimeFaces.cw("AccordionPanel","widget_formSmash_j_idt467",{id:"formSmash:j_idt467",widgetVar:"widget_formSmash_j_idt467",multiple:true});
##### Note

The list-decodability of random linear codes is shown to be as good as that of general random codes. Specifically, for every fixed finite field, Gamma(q), p is an element of (0, 1 - 1/q) and epsilon > 0, it is proved that with high probability a random linear code C in F-q(n) of rate (1 - H-q(p) - epsilon) can be list decoded from a fraction p of errors with lists of size at most O(1/epsilon). This also answers a basic open question concerning the existence of highly list-decodable linear codes, showing that a list-size of O(1/epsilon) suffices to have rate within epsilon of the information-theoretically optimal rate of 1 - H-q(p). The best previously known list-size bound was q(O(1/epsilon)) (except in the q = 2 case where a list-size bound of O(1/epsilon) was known). The main technical ingredient in the proof is a strong upper bound on the probability that l random vectors chosen from a Hamming ball centered at the origin have too many (more than Omega(l)) vectors from their linear span also belong to the ball.

QC 20110317

Available from: 2011-03-17 Created: 2011-03-14 Last updated: 2013-04-05Bibliographically approvedReferences$(function(){PrimeFaces.cw("TieredMenu","widget_formSmash_lower_j_idt1196",{id:"formSmash:lower:j_idt1196",widgetVar:"widget_formSmash_lower_j_idt1196",autoDisplay:true,overlay:true,my:"left top",at:"left bottom",trigger:"formSmash:lower:referencesLink",triggerEvent:"click"});}); $(function(){PrimeFaces.cw("OverlayPanel","widget_formSmash_lower_j_idt1197_j_idt1199",{id:"formSmash:lower:j_idt1197:j_idt1199",widgetVar:"widget_formSmash_lower_j_idt1197_j_idt1199",target:"formSmash:lower:j_idt1197:permLink",showEffect:"blind",hideEffect:"fade",my:"right top",at:"right bottom",showCloseIcon:true});});