• DocumentCode
    896421
  • Title

    Genetic Algorithm Aided Design of Component Codes for Irregular Variable Length Coding

  • Author

    Maunder, R.G. ; Hanzo, L.

  • Author_Institution
    Univ. of Southampton - ECS, Southampton
  • Volume
    57
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    1290
  • Lastpage
    1297
  • Abstract
    In this paper we propose a novel real-valued free distance metric (RV-FDM) for comparing the error correction capabilities of variable length error correction (VLEC) codebooks that have the same integer-valued free distance lower bounds. We demonstrate that VLEC codebooks having higher RV-FDMs tend to have extrinsic information transfer (EXIT) functions with more pronounced ´S´-shapes. Furthermore, we show that higher-accuracy EXIT chart matching can be achieved if the component EXIT functions of an irregular code exhibit more variety. This motivates the employment of our novel genetic algorithm for designing the component VLEC codes of irregular variable length coding, that have particular EXIT functions, in addition to exhibiting desirable bit entropies and decoding complexities.
  • Keywords
    decoding; entropy codes; error correction codes; genetic algorithms; variable length codes; EXIT chart matching; VLEC codebook; bit entropy; component code; decoding complexity; extrinsic information transfer function; genetic algorithm aided design; integer-valued free distance lower bound; irregular variable length coding; real-valued free distance metric; variable length error correction codebook; Algorithm design and analysis; Channel coding; Communications Society; Convolutional codes; Decoding; Employment; Entropy; Error correction codes; Genetic algorithms; Information rates; Variable length codes, joint source and channel coding, trellis codes, information rates;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2009.05.070234
  • Filename
    4939223