• DocumentCode
    838916
  • Title

    Encoding and Decoding Binary Product Lattices

  • Author

    Salomon, Amir J. ; Amrani, Ofer

  • Author_Institution
    Sch. of Electr. Eng., Tel-Aviv Univ.
  • Volume
    52
  • Issue
    12
  • fYear
    2006
  • Firstpage
    5485
  • Lastpage
    5495
  • Abstract
    A binary product lattice is generated from two binary component lattices of lower dimensions by employing the Kronecker product. This work focuses on codes carved from binary product lattices. Defined as such, an intriguing problem is that of effectively mapping independent data sequences onto a selected subset of lattice points. A novel approach is disclosed yielding an explicit connection between source bits and lattice points. Decoding methods typically used for binary product codes do not apply for product lattices. Several alternative decoding approaches are discussed. In particular, a provably bounded-distance decoder is presented. It relies on the fact that a product lattice code point may be regarded as a two-dimensional array whose rows and columns are points in the component lattices. The obtained results are compared with classical lattices known in the art
  • Keywords
    binary codes; decoding; product codes; Kronecker product; binary product lattices; bounded-distance decoder; encoding method; two-dimensional array; Art; Binary codes; Encoding; Galois fields; Iterative decoding; Lattices; Maximum likelihood decoding; Nearest neighbor searches; Product codes; Tensile stress; Barnes-Wall lattice; Reed–Muller code; binary code; binary lattice; bounded-distance decoding; lattice; maximum-likelihood (ML) decoding; nearest neighbors; product code; product lattice;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.885486
  • Filename
    4016316