• DocumentCode
    31496
  • Title

    Autocorrelations of Binary Sequences and Run Structure

  • Author

    Willms, Johann

  • Author_Institution
    Inst. of Comput. Sci., Vision & Comput. Intell., Fachhochschule Sudwestfalen, Meschede, Germany
  • Volume
    59
  • Issue
    8
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    4985
  • Lastpage
    4993
  • Abstract
    We analyze the connection between the autocorrelation of a binary sequence and its run structure given by the run length encoding. We show that both the periodic and the aperiodic autocorrelation of a binary sequence can be formulated in terms of the run structure. The run structure is given by the consecutive runs of the sequence. Let C = (C0, C1,..., Cn) denote the autocorrelation vector of a binary sequence and Δ the difference operator. We prove that the th component of Δ2(C) can be directly calculated by using the consecutive runs of total length k. In particular, this shows that the th autocorrelation is already determined by all consecutive runs of total length l <; k.In the aperiodic case, we show how the run vector can be efficiently calculated and give a characterization of skew-symmetric sequences in terms of their run length encoding.
  • Keywords
    binary codes; encoding; autocorrelation; autocorrelations; binary sequences; run length encoding; run structure; run vector; skew-symmetric sequences; Correlation; Encoding; Indexes; Noise measurement; Periodic structures; Signal processing; Vectors; Autocorrelation; binary sequence; run; run length encoding; run structure; skew-symmetric;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2013.2259293
  • Filename
    6506978