在相同条件下，最大后验概率译码算法比最大似然译码算法有更低误比特率，但由于计算量和复杂度过大而不适合硬件实现。

While the MAP algorithm offers better performance than the ML algorithm, the computation is complex and not suitable for hardware implementation.

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利用广义似然比检验（GLRT）解码算法，导出了成对符号错误概率（PEP）上限和码的设计准则。

The chernoff upper bound of the pairwise error probability(PEP) and the code design criteria are derived by means of the generalized likelihood-ratio test(GLRT) decoding algorithm.

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