• DocumentCode
    1352575
  • Title

    A modified belief propagation algorithm for code word quantization

  • Author

    Regalia, Phillip A.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Catholic Univ. of America, Washington, DC, USA
  • Volume
    57
  • Issue
    12
  • fYear
    2009
  • fDate
    12/1/2009 12:00:00 AM
  • Firstpage
    3513
  • Lastpage
    3517
  • Abstract
    Modern coding advances, including dirty paper coding and information hiding, require quantizing a given binary word to a code word. A ´good´ solution would approach the rate-distortion bound in lossy source compression. Here we propose a simple variant on belief propagation which is observed to converge to a solution giving respectable rate-distortion performance. Comparisons with other recently proposed source quantization methods reveal that the proposed algorithm holds particular interest in short block-length applications, as encountered in packet-based communication systems.
  • Keywords
    binary codes; error correction codes; linear codes; quantisation (signal); rate distortion theory; source coding; code word quantization; dirty paper coding; error correction codes; information hiding; linear binary codes; lossy source compression; modified belief propagation algorithm; packet-based communication systems; rate-distortion theory; source quantization methods; Belief propagation; Binary codes; Communication systems; Cryptography; Error correction codes; Helium; Maximum likelihood decoding; Quantization; Rate-distortion; Vectors; Source compression; code word quantization; dirty paper coding; information hiding; rate-distortion theory;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2009.12.080050
  • Filename
    5351640