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An upper bound on the distribution of computation of a sequential decoder for multiple-access channels

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1 Author(s)
V. B. Balakirsky ; Dept. of Inf. Theory, Lund Univ., Sweden

The computational distribution of sequential decoding for discrete memoryless multiple-access channels is examined. It is shown that all possible collections of incorrect paths in the code tree may be described by bipartite graphs. Using this fact and a new decoding metric it is proved that the number of computations in the first incorrect subtree is a Paretean random variable, and that the parameter of the Pareto distribution is estimated similarly to the parameter for systems of information transmission with one source

Published in:

IEEE Transactions on Information Theory  (Volume:42 ,  Issue: 2 )