1) maximum likelihood decoding
最大似然译码
1.
In order to enhance the fault tolerance ability of the fault diagnosis model,information correction is thus adopted based on the maximum likelihood decoding theory.
为了提高模型的容错性,提出了基于最大似然译码原理的监测信号信息校正方法,然后利用编码基本网在无畸变信号的基础上进行故障诊断。
2.
On the one band, the maximum likelihood decoding of linear block codes in the soft-decision condition is proved to be equivalent to making a neural network converge to a globe stable state of the energy function.
一方面,证明了在软判决译码的情况下,线性分组码的最大似然译码等价于一个神经网络收敛于它能量函数的全局极大状态。
3.
In this paper the function of error-corecting decoding of competitive learning is approached,the response,at equilibrium,of this neural network is shown to be equivalent to performing maximum likelihood decoding in a binary linear block error-correcting code on the basis of analysing the principle of competitive learning.
探讨了人工神经元网络竞争学习模型的纠错译码功能,通过对人工神经元网络竞争学习规则和平衡响应原理的分析,揭示了竞争学习的平衡响应与二值线性分组码的最大似然译码之间的等价关系。
2) maximum likelihood decoder
最大似然译码器
3) Viterbi Maximum-Likelihood Decoding Algorithm
Viterbi最大似然译码算法
4) FML
快速最大似然译码(FML)
5) Fast Maximum Likelihood Decoding
快速最大似然译码
补充资料:最大似然法
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