Weight distribution and list-decoding size of reed-muller codes

Tali Kaufman, Shachar Lovett, Ely Porat

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

The weight distribution and list-decoding size of Reed-Muller codes are studied in this work. Given a weight parameter, we are interested in bounding the number of Reed-Muller codewords with weight up to the given parameter; and given a received word and a distance parameter, we are interested in bounding the size of the list of Reed-Muller codewords that are within that distance from the received word. Obtaining tight bounds for the weight distribution of Reed-Muller codes has been a long standing open problem in coding theory, dating back to 1976. In this work, we make a new connection between computer science techniques used to study low-degree polynomials and these coding theory questions. This allows us to resolve the weight distribution and list-decoding size of Reed-Muller codes for all distances. Previous results could only handle bounded distances: Azumi, Kasami, and Tokura gave bounds on the weight distribution which hold up to 2.5 times the minimal distance of the code; and Gopalan, Klivans, and Zuckerman gave bounds on the list-decoding size which hold up to the Johnson bound.

Original languageEnglish
Article number6142078
Pages (from-to)2689-2696
Number of pages8
JournalIEEE Transactions on Information Theory
Volume58
Issue number5
DOIs
StatePublished - May 2012

Bibliographical note

Funding Information:
Manuscript received April 13, 2010; revised September 15, 2011; accepted September 20, 2011. Date of publication January 31, 2012; date of current version April 17, 2012. This work was supported in part by the Alon Fellowship and by the National Science Foundation under Grant DMS-0835373. The work of T. Kaufman was supported in part by NSF Awards CCF-0514167 and NSF-0729011. The work of S. Lovett was supported in part by the Israel Science Foundation (Grant 1300/05). This work was performed in part when the S. Lovett was an intern at Microsoft Research.

Funding

Manuscript received April 13, 2010; revised September 15, 2011; accepted September 20, 2011. Date of publication January 31, 2012; date of current version April 17, 2012. This work was supported in part by the Alon Fellowship and by the National Science Foundation under Grant DMS-0835373. The work of T. Kaufman was supported in part by NSF Awards CCF-0514167 and NSF-0729011. The work of S. Lovett was supported in part by the Israel Science Foundation (Grant 1300/05). This work was performed in part when the S. Lovett was an intern at Microsoft Research.

FundersFunder number
National Science FoundationCCF-0514167, NSF-0729011, DMS-0835373
Israel Science Foundation1300/05

    Keywords

    • List decoding
    • Reed-Muller codes
    • weight distributions

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