• DocumentCode
    890579
  • Title

    Zero-error instantaneous coding of correlated sources with length constraints is NP-complete

  • Author

    Yan, Ying-On ; Berger, Toby

  • Author_Institution
    MathWorks Inc., Natick, MA, USA
  • Volume
    52
  • Issue
    4
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    1705
  • Lastpage
    1708
  • Abstract
    It is well known that the Kraft inequality gives a necessary and sufficient condition on the codeword lengths of a zero-error instantaneous code for a single source. However, generalization for two correlated sources is nontrivial. We show that in the Slepian-Wolf configuration, even if one source is known at the decoder, designing a zero-error instantaneous code with given codeword lengths for the other source is NP-complete.
  • Keywords
    computational complexity; correlation theory; decoding; optimisation; source coding; Kraft inequality; NP-complete problem; Slepian-Wolf configuration; codeword length constraint; decoder; source correlation; zero-error instantaneous coding; Channel capacity; Decoding; Feedback; Information rates; Lagrangian functions; Notice of Violation; Rate-distortion; Source coding; Correlated sources; Kraft inequality; NP-complete problem; prefix condition; rectangle packing; zero-error variable-length codes;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.871039
  • Filename
    1614095