On the Zero-Error Capacity Threshold for Deletion Channels

information theory and applications(2011)

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摘要
We consider the zero-error capacity of deletion channels. Specifically, we consider the setting where we choose a codebook ${\cal C}$ consisting of strings of $n$ bits, and our model of the channel corresponds to an adversary who may delete up to $pn$ of these bits for a constant $p$. Our goal is to decode correctly without error regardless of the actions of the adversary. We consider what values of $p$ allow non-zero capacity in this setting. We suggest multiple approaches, one of which makes use of the natural connection between this problem and the problem of finding the expected length of the longest common subsequence of two random sequences.
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关键词
probabilistic logic,random sequence,decoding,markov process,markov processes,channel coding,longest common subsequence,upper bound,bipartite graph,channel capacity
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