• DocumentCode
    2939979
  • Title

    Multiterminal estimation theory with binary symmetric source

  • Author

    Shimokawa, Hidetoshi ; Amari, Shun-Ichi

  • Author_Institution
    Dept. of Math. Eng. & Inf. Phys., Tokyo Univ., Japan
  • fYear
    1995
  • fDate
    17-22 Sep 1995
  • Firstpage
    447
  • Abstract
    The multiterminal estimation theory discuss the maximum Fisher information under the Shannon information restriction. In the single-terminal case, it is trivial problem because the maximum Fisher information can be attained at asymptotically 0-rate. Han and Amari (1993) discuss this problem generally and give the lower bound of the maximum Fisher information under rate restriction. Its approach is based on Slepian-Wolf type rate region. We give an example, binary symmetric case, which shows that sufficient statistics can be sent at the rate outside of SW-region using Korner and Morton´s (1979) method, giving a better bound than the one of Han and Amari. Finally we give the general form of such parametric family of which sufficient statistics can be sent at the rate used in the KM type region
  • Keywords
    channel capacity; estimation theory; information theory; statistical analysis; Korner and Morton method; Shannon information; Slepian-Wolf type rate region; binary symmetric source; lower bound; maximum Fisher information; multiterminal estimation theory; parametric family; rate restriction; sufficient statistics; Decoding; Entropy; Estimation error; Estimation theory; Parametric statistics; Physics; Probability distribution; Statistical distributions; Time sharing computer systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
  • Conference_Location
    Whistler, BC
  • Print_ISBN
    0-7803-2453-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1995.550434
  • Filename
    550434