• DocumentCode
    331819
  • Title

    Communication and coding vis-a-vis information theory vis-a-vis probability and statistics

  • Author

    Sahai, Ashok

  • Author_Institution
    Dept. of Stat. & Demography, Univ. of Swaziland, Swaziland
  • fYear
    1998
  • fDate
    7-8 Sep 1998
  • Firstpage
    271
  • Lastpage
    274
  • Abstract
    The motivation behind this paper is threefold, as follows. Firstly, it attempts to make a comprehensive exposition of the important role of elementary `information theory´, relevant to `communication coding´. Secondly, the paper tries to illustrate comprehensively and convincingly how `information theory´ is a bridge between two different disciplines, namely `communication and coding´ and `probability and statistics´. Thirdly, and most importantly, the paper leads to the conclusion that while we are trying to solve a problem in a particular area, e.g. `electrical engineering´, we ought to have a `research group´ with scientists from all relevant areas, for instance economics, probability and statistics, geology etc. The point is: by marrying expertise in seemingly diverse fields of knowledge we would vastly improve our chances of arriving at a gainful solution to the problem at hand, which would be practically optimal
  • Keywords
    encoding; information theory; probability; statistical analysis; communication coding; information theory; multi-disciplinary research groups; probability; statistics; Brain modeling; Bridges; Communication channels; Context; Decoding; Geology; Information theory; Laboratories; Probability; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing, 1998. COMSIG '98. Proceedings of the 1998 South African Symposium on
  • Conference_Location
    Rondebosch
  • Print_ISBN
    0-7803-5054-5
  • Type

    conf

  • DOI
    10.1109/COMSIG.1998.736962
  • Filename
    736962