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International Colloquium on Coding Theory and Applications

Coding Theory 1986: Coding Theory and Applications pp 150–153Cite as

Weighted decoding as a means for reestimating a probability distribution (abstract)

  • Decoding In Real Space
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 311))

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References

  1. J.E. SHORE and R.W. JOHNSON, Axiomatic Derivation of the Principle of Maximum Entropy Principle and the Principle of Minimum Cross-entropy, IEEE Trans. Inf. Th., 26 no 1, jan. 1980, pp. 26–37

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  2. S. KULLBACK, Information Theory and Statistics, Wiley, 1959

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  3. G. BATTAIL, Décodage Pondéré des Codes Linéaires, IPMU Symposium, Paris, 30 june-4 july 1986

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  4. P. ELIAS, Error-free Coding, IRE Trans. IT, jan. 1954, pp. 29–37

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  5. G.D. FORNEY Jr, Concatenated Codes, MIT Press, 1966

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  6. G. BATTAIL, Le Décodage Pondéré en tant que Procédé de Réévaluation d'une Distribution de Probabilité, Annales des Télécommunications, 42, no 9–10, sep.-oct. 1987

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Authors and Affiliations

  1. Ecole Nationale Supérieure des Télécommunications, 46, rue Barrault, F - 75634, Paris Cedex 13, France

    Gérard Battail

Authors
  1. Gérard Battail
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G. Cohen P. Godlewski

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© 1988 Springer-Verlag Berlin Heidelberg

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Battail, G. (1988). Weighted decoding as a means for reestimating a probability distribution (abstract). In: Cohen, G., Godlewski, P. (eds) Coding Theory and Applications. Coding Theory 1986. Lecture Notes in Computer Science, vol 311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19368-5_16

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  • DOI: https://doi.org/10.1007/3-540-19368-5_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19368-5

  • Online ISBN: 978-3-540-39243-9

  • eBook Packages: Springer Book Archive

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