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The Maximum-Likelihood Decoding Threshold for Cycle Codes of Graphs

机译:图的循环码的最大似然译码阈值

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摘要

For a class C of binary linear codes, we write θC: (0, 1) → [0, (1/2)] for the maximum-likelihood decoding threshold function of C, the function whose value at R ∈ (0, 1) is the largest bit-error rate p that the codes in C can tolerate with a negligible probability of maximum-likelihood decoding error across a binary symmetric channel. We show that, if C is the class of cycle codes of graphs, then θC(R) ≤ ((1 - √R)2/2(1 + R)) for each R, and show that equality holds only when R is asymptotically achieved by the cycle codes of regular graphs.
机译:对于C类二进制线性代码,我们为C的最大似然解码阈值函数编写θC:(0,1)→[0,(1/2)],该函数的值在R∈(0,1 )是C中的代码可以容忍的最大误码率p,在整个二进制对称信道上的最大似然解码错误的概率可以忽略不计。我们证明,如果C是图的循环码的类别,则每个R的θC(R)≤((1-√R)2/2(1 + R)),并证明仅当R为通过正则图的循环代码渐近实现。

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