• DocumentCode
    913065
  • Title

    Complexity of decoders--I: Classes of decoding rules

  • Author

    Savage, John E.

  • Volume
    15
  • Issue
    6
  • fYear
    1969
  • fDate
    11/1/1969 12:00:00 AM
  • Firstpage
    689
  • Lastpage
    695
  • Abstract
    Several classes of decoding rules are considered here including block decoding rules, tree decoding rules, and bounded-distance and minimum-distance decoding rules for binary parity-check codes. Under the assumption that these rules are implemented with combinational circuits and sequential machines constructed with AND gates, OR gates, INVERTERS, and binary memory cells, bounds are derived on their complexity. Complexity is measured by the number of logic elements and memory cells, and it is shown that minimum-distance and other decoders for parity-check codes can be realized with complexity proportional to the square of block length, although at the possible expense of a large decoding time. We examine tradeoffs between probability of error and complexity for the several classes of rules.
  • Keywords
    Decoding; Channel capacity; Combinational circuits; Convolutional codes; Decoding; Error correction codes; Inverters; Length measurement; Logic; Parity check codes; Time measurement;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1969.1054380
  • Filename
    1054380