• DocumentCode
    2177848
  • Title

    Optimal sequential vector quantization of Markov sources

  • Author

    Borkar, Vivek S. ; Mitter, Sanjoy K. ; Tatikonda, Sekhar C.

  • Author_Institution
    Tata Inst. of Fundamental Res., Mumbai, India
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    205
  • Abstract
    The problem of sequential vector quantization of a stationary Markov source is cast as an equivalent stochastic control problem with partial observations. This problem is analyzed using the techniques of dynamic programming, leading to a characterization of optimal encoding schemes
  • Keywords
    Markov processes; dynamic programming; observers; stochastic systems; vector quantisation; VQ; dynamic programming; equivalent stochastic control problem; optimal encoding schemes; optimal sequential vector quantization; partial observations; sequential vector quantization; stationary Markov source; Block codes; Decoding; Distortion measurement; Dynamic programming; Entropy; Nonlinear distortion; Nonlinear filters; Rate-distortion; Stochastic processes; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-7061-9
  • Type

    conf

  • DOI
    10.1109/.2001.980099
  • Filename
    980099
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2177848