• DocumentCode
    1460185
  • Title

    Analysis and further results on adaptive entropy-coded quantization

  • Author

    Harrison, Daniel D. ; Modestino, James W.

  • Author_Institution
    General Electric Co., Schenectady, NY, USA
  • Volume
    36
  • Issue
    5
  • fYear
    1990
  • fDate
    9/1/1990 12:00:00 AM
  • Firstpage
    1069
  • Lastpage
    1088
  • Abstract
    Buffer underflow and overflow problems associated with entropy coding are completely eliminated by effectively imposing reflecting walls at the buffer endpoints. Synchronous operation of the AECQ (adaptive entropy-coded quantizer) encoder and decoder is examined in detail, and it is shown that synchronous operation is easily achieved without side information. A method is developed to explicitly solve for the buffer-state probability distribution and the resulting average distortion when memoryless buffer-state feedback is used as well as when the source is stationary and memoryless. This method is then used as a tool in the design of low-distortion AECQ systems, with particular attention given to developing source scale-invariant distortion performance. It is shown that the introduction of reflecting buffer walls in a properly designed AECQ system results in a very small rate-distortion performance penalty and that the resulting AECQ system can be an extremely simple and effective solution to the stationary memoryless source-coding problem for a wide range of source types. Operation with nonstationary sources is also examined
  • Keywords
    decoding; encoding; entropy; adaptive entropy-coded quantization; average distortion; buffer overflow; buffer underflow; buffer-state probability distribution; decoder; encoder; entropy coding; memoryless buffer-state feedback; memoryless source; nonstationary sources; reflecting buffer walls; source scale-invariant distortion; source-coding; stationary source; synchronous operation; Adaptive control; Channel capacity; Discrete cosine transforms; Entropy coding; Feedback; Linear predictive coding; Programmable control; Quantization; Rate distortion theory; Rate-distortion;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.57206
  • Filename
    57206