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Graph Configurations and Decoding Performance

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Cryptography and Coding (Cryptography and Coding 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2260))

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Abstract

The performance of a new method for decoding binary error correcting codes is presented, and compared with established hard and soft decision decoding methods. The new method uses a modified form of the maxsum algorithm, which is applied to a split (partially disconnected) modification of the Tanner graph of the code. Most useful codes have Tanner graphs that contain cycles, so the aim of the split is to convert the graph into a tree graph. Various split graph configurations have been investigated, the best of which have decoding performances close to maximum likelihood.

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Author information

Authors and Affiliations

  1. Department of Communication Systems, Lancaster University, LA1 4YR, Lancaster, UK

    J. T. Paire, P. Coulton & P. G. Farrell

Authors
  1. J. T. Paire
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  2. P. Coulton
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  3. P. G. Farrell
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Editor information

Editors and Affiliations

  1. Faculty of Applied Sciences, Department of Communication Systems, Lancaster University, LA1 4YR, Lancaster, UK

    Bahram Honary

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© 2001 Springer-Verlag Berlin Heidelberg

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Paire, J.T., Coulton, P., Farrell, P.G. (2001). Graph Configurations and Decoding Performance. In: Honary, B. (eds) Cryptography and Coding. Cryptography and Coding 2001. Lecture Notes in Computer Science, vol 2260. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45325-3_15

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  • DOI: https://doi.org/10.1007/3-540-45325-3_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43026-1

  • Online ISBN: 978-3-540-45325-3

  • eBook Packages: Springer Book Archive

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