• DocumentCode
    1474577
  • Title

    On lowest density MDS codes

  • Author

    Blaum, Mario ; Roth, Ron M.

  • Author_Institution
    IBM Res. Div., Almaden Res. Center, San Jose, CA, USA
  • Volume
    45
  • Issue
    1
  • fYear
    1999
  • fDate
    1/1/1999 12:00:00 AM
  • Firstpage
    46
  • Lastpage
    59
  • Abstract
    Let Fq denote the finite field GF(q) and let h be a positive integer. MDS (maximum distance separable) codes over the symbol alphabet Fqb are considered that are linear over F q and have sparse (“low-density”) parity-check and generator matrices over Fq that are systematic over Fqb. Lower bounds are presented on the number of nonzero elements in any systematic parity-check or generator matrix of an Fq-linear MDS code over Fqb, along with upper bounds on the length of any MDS code that attains those lower bounds. A construction is presented that achieves those bounds for certain redundancy values. The building block of the construction is a set of sparse nonsingular matrices over Fq whose pairwise differences are also nonsingular. Bounds and constructions are presented also for the case where the systematic condition on the parity-check and generator matrices is relaxed to be over Fq, rather than over Fqb
  • Keywords
    Galois fields; linear codes; redundancy; sparse matrices; finite field; generator matrices; length; linear MDS code; lower bounds; lowest density MDS codes; maximum distance separable codes; nonzero elements; pairwise differences; parity-check matrix; redundancy; sparse nonsingular matrices; symbol alphabet; upper bounds; Conferences; Galois fields; Hamming distance; Information theory; Length measurement; Linear code; Parity check codes; Sparse matrices; Upper bound; Vectors;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.746771
  • Filename
    746771