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Generalizations of the Maximum Entropy Principle and their Applications

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Transactions of the Ninth Prague Conference

Part of the book series: Czechoslovak Academy of Sciences ((TPCI,volume 9A))

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Abstract

Three inequalities closely related to the principle of maximum entropy and analogous principles are presented. They are applied to various problems of universal encoding and decoding.

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References

  • Davisson, L.D. (1973): Universal noiseless coding. IEEE Trans. Inform. Theory IT-19, 783–795

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  • Fischer, Th. (1978): Some remarks on the role of inaccuracy in Shannon’s theory of information transmission. In: Trans. of the Eighth Prague Conference, Prague 1978. Academia, Prague, Vol. A, 211–226

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  • Fischer, Th. (1981): Das Prinzip der maximalen Entropie und seine Anwendung in der Codierungs- und Suchtheorie (On the principle of maximum entropy and its applications to coding and search theory), to appear

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  • Krichevsky, R.E.; Trofimov, V.K. (1981): The performance of universal encoding. IEEE Trans. Inform. Theory IT-27, 199–207

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  • Rényi, A. (1966): On the amount of missing information and the Neyman - Pearson lemma. In: Festschrift für J. Neyman. Wiley, London, 281–288

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Authors and Affiliations

  1. Department of Mathematics, Technical University of Dresden, Mommsenstraße 13, 8027, Dresden, German Democratic Republic

    Thomas Fischer

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  1. Thomas Fischer
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© 1983 ACADEMIA, Publishing House of the Czechoslovak Academy of Sciences, Prague

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Fischer, T. (1983). Generalizations of the Maximum Entropy Principle and their Applications. In: Transactions of the Ninth Prague Conference. Czechoslovak Academy of Sciences, vol 9A. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7013-7_27

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  • DOI: https://doi.org/10.1007/978-94-009-7013-7_27

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-009-7015-1

  • Online ISBN: 978-94-009-7013-7

  • eBook Packages: Springer Book Archive

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