a priori probability

This paper deduces the NDA SNR estimation algorithm for QAM signals in additive Gaussian white noise channel and on the condition of the equivalent a priori probability of transition signals positioning on every constellation point by using statistics.

该文利用统计量的知识，推导了QAM信号在加性高斯白噪声信道且星座任意一点的发送概率相同条件下的非数据辅助（盲）信噪比估计算法。

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First, review the feature and disadvantages of existing major padding algorithm, such as existence of redundant information system, the requirement of a priori probability distribution, no sparse degree dealing.

首先研究目前一些主要数据补齐算法所存在缺陷：产生冗余信息系统、需先验属性值分布概率、无稀疏数据处理等。

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Bayesian probability framework is a theory to transfer a priori probability to posterior probability. This thesis provides a formal Bayesian framework for image classification problems, which maps the low-level image features to the intrinsic high-level semantics.

贝叶斯概率框架是一种将先验概率转化为后验概率的理论框架，通过形式化的图像分类概率框架可以将低级图像特征映射到已有的高层语义。

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They had assigned an a priori probability of zero to Enigma decryption, and no weight of evidence sufficed to increase it.

他们直接将谜机被破解的先验概率设成了0，所以就没有证据权重能够使它增加了。

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By studying the existing detection algorithms, this new MMSE SIC detection scheme is based on the reliability of the estimated a priori symbol probability.

在分析现有算法特性的基础了，提出了基于估计的先验符号概率可靠性的MMSE SIC检测算法。

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Our method generalize the conventional Viterbi decoding algorithm, not only the optimal path in channel decoding trellis but also the a priori probability of branches in multiple VLC source trees are considered.

本方法原理上推广了Viterbi译码算法，形成一个需要兼顾信道编码序列流的最优路径与多路信源编码状态转移树中的最大先验概率的译码算法。

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Secondly, based on the uncertainty of unexpected events and dynamic features, using Bayes rule to amends to a priori probability for dynamic decision-making methods respectively, using Bayes rule constantly dynamic correction phase of the results according to the information available and the changes in adjusting tactics.

其次，基于突发事件的不确定性及动态特性，分别利用贝叶斯法则修正先验概率进行动态决策的方法，利用贝叶斯动态修正法则不断地根据阶段结果和所掌握的信息变化调整策略。

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According to a priori exact probability or experts estimate that the probability, the classical Expectation-Maximization algorithm calculates the joint fault probability distribution and probability distribution of marginal respectively.

根据观测的信息或专家经验估计阀件的先验概率，最大期望估计算法学习各个阀件故障的联合概率分布和边缘概率分布。

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