• DocumentCode
    49898
  • Title

    Variable-Length Lossy Source Code Using a Constrained-Random-Number Generator

  • Author

    Muramatsu, Jun

  • Author_Institution
    NTT Communication Science Laboratories, NTT Corporation, Kyoto, Japan
  • Volume
    61
  • Issue
    6
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    3574
  • Lastpage
    3592
  • Abstract
    A variable-length lossy source code is introduced with a rate-distortion pair close to the rate-distortion function. Random numbers that satisfy a condition specified by a function and its value are used to construct a stochastic encoder. The proof of the theorem is based on the balanced-coloring property of an ensemble of functions. Since an ensemble of systematic sparse matrices has this property, we can construct a tractable code for a memoryless source. Some algorithms for implementing the code are introduced and compared by simulation.
  • Keywords
    Decoding; Encoding; Probability distribution; Quantization (signal); Rate-distortion; Sparse matrices; Systematics; Balanced-coloring property; Gibbs sampling; balanced-coloring property; constrained-random-number generator; constrainedrandom-number generator; rate-distortion theory; sparse matrix; sum-product algorithm; variable length lossy source code;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2015.2428238
  • Filename
    7098371