2021
DOI: 10.1109/tit.2021.3086805
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Linear-Time Erasure List-Decoding of Expander Codes

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Cited by 4 publications
(1 citation statement)
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“…There exist highly efficient algorithms for the unique-decoding of these codes from both probabilistic and adversarial errors, based on combinatorial arguments, linear programming relaxations [Fel03,ADS12,FWK05] and message passing algorithms [Gur06,RU08]. In the setting of erasures where the location of the corruptions in the transmitted codeword is known, recent work has also led to linear-time list decoding algorithms [RZWZ21,HW18], which also work for the more general task of list recovery in the large alphabet (high-rate) case [HW18]. However, to the best of our knowledge, no list decoding algorithms are known in the more challenging (and common) setting of errors when the location of the corruptions are unknown, even though random ensembles of LDPC codes are even known to combinatorially achieve list-decoding capacity [MRRZ + 20], and thus have bounded list sizes up to optimal error radii.…”
Section: Tanner Codesmentioning
confidence: 99%
“…There exist highly efficient algorithms for the unique-decoding of these codes from both probabilistic and adversarial errors, based on combinatorial arguments, linear programming relaxations [Fel03,ADS12,FWK05] and message passing algorithms [Gur06,RU08]. In the setting of erasures where the location of the corruptions in the transmitted codeword is known, recent work has also led to linear-time list decoding algorithms [RZWZ21,HW18], which also work for the more general task of list recovery in the large alphabet (high-rate) case [HW18]. However, to the best of our knowledge, no list decoding algorithms are known in the more challenging (and common) setting of errors when the location of the corruptions are unknown, even though random ensembles of LDPC codes are even known to combinatorially achieve list-decoding capacity [MRRZ + 20], and thus have bounded list sizes up to optimal error radii.…”
Section: Tanner Codesmentioning
confidence: 99%