• DocumentCode
    1203711
  • Title

    Testing Reed-Muller codes

  • Author

    Alon, Noga ; Kaufman, Tali ; Krivelevich, Michael ; Litsyn, Simon ; Ron, Dana

  • Author_Institution
    Dept. of Math., Tel-Aviv Univ., Israel
  • Volume
    51
  • Issue
    11
  • fYear
    2005
  • Firstpage
    4032
  • Lastpage
    4039
  • Abstract
    A code is locally testable if there is a way to indicate with high probability that a vector is far enough from any codeword by accessing only a very small number of the vector´s bits. We show that the Reed-Muller codes of constant order are locally testable. Specifically, we describe an efficient randomized algorithm to test if a given vector of length n=2m is a word in the rth-order Reed-Muller code R(r,m) of length n=2m. For a given integer r≥1, and real ε>0, the algorithm queries the input vector υ at O(1/ε+r22r) positions. On the one hand, if υ is at distance at least εn from the closest codeword, then the algorithm discovers it with probability at least 2/3. On the other hand, if υ is a codeword, then it always passes the test. Our result is almost tight: any algorithm for testing R(r,m) must perform Ω(1/ε+2r) queries.
  • Keywords
    Reed-Muller codes; binary codes; polynomials; probability; query processing; randomised algorithms; testing; Reed-Muller code; affine subspace; binary field; codeword; multivariate polynomials; probability; property testing; randomized algorithm; Codes; Decoding; Mathematics; Performance evaluation; Testing; Affine subspaces; Reed–Muller code; binary field; multivariate polynomials; property testing;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2005.856958
  • Filename
    1522661