• DocumentCode
    896600
  • Title

    Guessing Under Source Uncertainty

  • Author

    Sundaresan, Rajesh

  • Author_Institution
    Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore
  • Volume
    53
  • Issue
    1
  • fYear
    2007
  • Firstpage
    269
  • Lastpage
    287
  • Abstract
    This paper considers the problem of guessing the realization of a finite alphabet source when some side information is provided. The only knowledge the guesser has about the source and the correlated side information is that the joint source is one among a family. A notion of redundancy is first defined and a new divergence quantity that measures this redundancy is identified. This divergence quantity shares the Pythagorean property with the Kullback-Leibler divergence. Good guessing strategies that minimize the supremum redundancy (over the family) are then identified. The min-sup value measures the richness of the uncertainty set. The min-sup redundancies for two examples - the families of discrete memoryless sources and finite-state arbitrarily varying sources - are then determined
  • Keywords
    correlation theory; redundancy; Kullback-Leibler divergence; Pythagorean property; correlated side information; divergence quantity; guessing; information correlation; redundancy minimization; source uncertainty; Cryptography; Entropy; Humans; Information geometry; Information theory; Performance analysis; Random variables; Uncertainty; Upper bound; $f$-divergence; $I$-projection; Pythagorean identity; Rényi entropy; Rényi information divergence; guessing; information geometry; mismatch; redundancy; side information;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2006.887466
  • Filename
    4039677