• DocumentCode
    2057220
  • Title

    Concavity in time of conditional entropy for stationary Markov sources

  • Author

    Julian, David ; Cover, Thomas M.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    261
  • Abstract
    We show that the conditional entropy H(Xn|X0) of a discrete time stationary Markov process is concave in n. This has a number of implications.
  • Keywords
    Markov processes; entropy; information theory; conditional entropy; discrete time process; optimal lossy sampling method; stationary Markov sources; time concavity; Bandwidth; Entropy; Information systems; Laboratories; Markov processes; Measurement uncertainty; Sampling methods; Thermodynamics; Time factors; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7501-7
  • Type

    conf

  • DOI
    10.1109/ISIT.2002.1023533
  • Filename
    1023533
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2057220