• DocumentCode
    1454275
  • Title

    Expander graph arguments for message-passing algorithms

  • Author

    Burshtein, David ; Miller, Gadi

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
  • Volume
    47
  • Issue
    2
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    782
  • Lastpage
    790
  • Abstract
    We show how expander-based arguments may be used to prove that message-passing algorithms can correct a linear number of erroneous messages. The implication of this result is that when the block length is sufficiently large, once a message-passing algorithm has corrected a sufficiently large fraction of the errors, it will eventually correct all errors. This result is then combined with known results on the ability of message-passing algorithms to reduce the number of errors to an arbitrarily small fraction for relatively high transmission rates. The results hold for various message-passing algorithms, including Gallager´s hard-decision and soft-decision (with clipping) decoding algorithms. Our results assume low-density parity-check (LDPC) codes based on an irregular bipartite graph
  • Keywords
    belief networks; error correction codes; graph theory; iterative decoding; message passing; Gallager´s hard-decision decoding algorithms; LDPC codes; block length; erroneous messages correction; error correction; expander graph arguments; irregular bipartite graph; low-density parity-check codes; message-passing algorithms; relatively high transmission rates; soft-decision decoding algorithms; Bipartite graph; Error correction; Graph theory; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Message passing; Parity check codes; Switches; Turbo codes;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.910588
  • Filename
    910588