• DocumentCode
    640307
  • Title

    Lossy source code using a constrained random number generator

  • Author

    Muramatsu, Junya

  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    2354
  • Lastpage
    2358
  • Abstract
    A stochastic encoder for lossy source coding is introduced with a rate-distortion pair close to the boundary of the rate-distortion region, where the only restriction is that the reproduction alphabet is finite. Random numbers, which satisfy a condition specified by a function and its value, are used to construct the stochastic encoder. The proof of the theorem is based on the hash property of an ensemble of functions, where the results are extended to a general channel by deriving an alternative formula for the rate-distortion region. Since an ensemble of sparse matrices has a hash property, we can construct a code by using sparse matrices.
  • Keywords
    random number generation; source coding; sparse matrices; stochastic processes; constrained random number generator; hash property; lossy source coding; rate-distortion; sparse matrices; stochastic encoder; Decoding; Encoding; Gold; Manganese; Rate-distortion; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2013.6620647
  • Filename
    6620647