最大后验概率估计的英文

• maximum posterior probability estimation

• "最大"英文翻译    maximum
• "后验"英文翻译    posterior; posteriority; a p ...
• "概率"英文翻译    probability; chance
• "估计"英文翻译    estimate; evaluate; take sto ...
• "最大后验概率" 英文翻译 :    maximum a posteriori probability
• "最大后验估计" 英文翻译 :    maximum a posteriori estimation
• "后验概率" 英文翻译 :    a posterier probability; apa posteriori probability; bayes theorem; posterior probability; probability a posteriori
• "后验概率分布" 英文翻译 :    posterior probability distribution
• "随机后验概率" 英文翻译 :    random posterior probability
• "极大后验估计" 英文翻译 :    maximum a posterior estimate; maximum a posterior estimation
• "最大后验方程" 英文翻译 :    maximum a posteriori equation
• "概率估计" 英文翻译 :    probability estimate
• "后验概率极大化" 英文翻译 :    map
• "极大后验估计器" 英文翻译 :    maximum a posterior estimator
• "地震概率估计" 英文翻译 :    seismic probability estimation
• "风险概率估计" 英文翻译 :    probabilistic risk assessment
• "主观概率估计" 英文翻译 :    subjective probability estimate
• "反概率准则(后验概率准则)" 英文翻译 :    inverse probability criterion
• "后验概率极大化算法" 英文翻译 :    maalgorithm; map algorithm
• "最大似然率估计" 英文翻译 :    maximum likelihood estimation
• "后验概念" 英文翻译 :    aposterior concept
• "经验概率" 英文翻译 :    aposterior probability; aposteriori probability; detection probability; empircal probability; empiric probability; empirical probability
• "经验概率值" 英文翻译 :    empirical probity
• "实验概率" 英文翻译 :    experimental probability
• "先验概率" 英文翻译 :    a prior probability; a priori probability; apriori probability; bayes theorem; probability a priori

• The efficiency of this algorithm can be recognized from the experimental results which are attached at the end of this thesis . this thesis ends with the study of the maximum a posteriori ( map ) method with
  本文最后对最大后验概率估计法进行了研究,给出了最大后验概率估计法的原理、方法和步骤。
• This paper studies 3 kinds of algorithms : the viterbi algorithm , multiresolutional algorithm based on wavelet transformation and bayesian bootstrap algorithm . the viterbi algorithm is based on the hidden markov model theory and it is a kind of map estimation , this paper studies this algorithm and puts up an algorithm that suits for filtering in the presence of interference . multiresolutional algorithm takes full advantage of multiresolutional data , we can see it has a better filtering ability than the traditional filtering methods ; bootstrap algorithm is a recursive bayesian estimation , it describes the probability density function by the samples , so it can be used to nonlinear non - gaussion filtering , the simulation result of the two groundings is presented
  Viterbi算法以隐马尔可夫理论为基础，是一种最大后验概率估计方法，本文对该算法进行了研究，给出了一种适合于非高斯干扰条件下的滤波方法；多分辨分析方法充分利用到了多分辨率测量数据所包含的信息，从仿真结果中可以看出，该方法的滤波精度要高于传统的滤波算法；自主滤波方法是一种递推贝叶斯估计算法，它利用采样点来描述目标状态的概率密度函数，因而适用于非线性、非高斯条件下的滤波，本文分别对这两种情况下的滤波进行了仿真。
• There are mainly two type of algorithms used for spatial spectrum estimation : one is those based on bayesian maximum likelihood method , like the ml ( maximum likelihood ) algorithm , maximum entropy method and etc . , the others are based on the spatial decomposition or projection of correlation matrix , this kind of algorithm include vector characterization method , music ( multiple signal classification ) algorithm , projection matrix method , etc . music is a classical spatial spectrum estimation algorithm that has a super high resolution and is widely used today , however , it cannot estimate doa of signals that are correlated
  空间谱估计的算法大致分两大类:一是基于极大似然估计和最大后验概率估计统计理论的算法,包括:极大似然估计法( ml ) 、最大熵法等;另一类是基于对协方差矩阵进行子空间分解或投影的算法,包括:矢量特征法、多重信号分类法( music ) 、投影矩阵法等。其中, music法是一种经典的空间谱估计主流算法,具有超强的分辨性能,但它无法实现对相干信号进行测向分辨。