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Information measures from rate-distortion theories

  • Andrea Sgarro
Information Theory
Part of the Lecture Notes in Computer Science book series (LNCS, volume 313)

Keywords

Shannon Entropy Information Measure Achievable Rate Distortion Measure Distortion Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. /1/.
    Csiszár, Imre; Körner, János "Information Theory: Coding Theorems for Discrete Memoryless Systems" Academic Press, Inc., New York London (1981)Google Scholar
  2. /2/.
    Körner, J. "Coding of an Information Source having Ambiguous Alphabet and the Entropy of Graphs" Transactions of the 6th Prague Conference on Information Theory, Statistical Decision Functions and Random Processes, Academia, Prague, 411–425 (1973)Google Scholar
  3. /3/.
    Körner, J. "Fredman-Komlós Bounds and Information Theory" SIAM J. On Algebraic and Discrete Methods, Vol.5, n.1, 61–68 (1984)Google Scholar
  4. /4/.
    Körner J., Sgarro A. "A New Approach to Rate-Distortion Theory" Rend. Istit. Mat. Univ. di Trieste, Vol. XVIII, 177–187 (1986)Google Scholar
  5. /5/.
    Sgarro, A. "Information-theoretic versus Decision-theoretic Cryptography" EuM (Elektrotechnik und Maschinenbau), Heft 12, 562–564 (1987)Google Scholar
  6. /6/.
    Sgarro, A. "A Measure of Semiequivocation", preprintGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Andrea Sgarro
    • 1
  1. 1.Dipartimento di Matematica e InformaticaUniversità di UdineItaly

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