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maximum a posteriori meaning in Chinese

最大后验概率

Examples

  1. Maximum a posteriori restoration with markov constraint for three - dimensional optical - sectioning microscopy
    三维显微图像复原及点扩散函数的研究
  2. 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。
  3. 3 ) we try to import the bayesian adaptation , which is widely used in speech recognition , into speaker verification . we use bayesian maximum a posteriori estimation training a speaker model from background model , to solve the problem of model miss matching in speaker verification system
    3 )为了解决说话人确认中存在的模型不匹配问题,尝试将语音识别中的贝叶斯自适应算法引入到基于高斯混合统一背景模型的说话人确认系统。
  4. And then facing the problem of the channel estimation of the adaptive modulation system , we conclude out the channel estimation algorithms on maximum likelihood ( ml ) estimation and maximum a posteriori ( map ) estimation under the condition of flat fading channel and selective fading channel in detail . to meet flat fading channel , we simulate the relationship of the ratio between the error covariance in map estimation and ml estimation and pilot symbol message length . the conclusion can be drawn from these results
    接着,对自适应调制系统中的信道估计问题难点,详细推导了平衰落信道条件下和选择性衰落信道条件下最大似然( ml )估计和最大后验概率( map )估计算法,针对平衰落信道,我们仿真了map估计和ml估计的方差与导频符号长度的关系,仿真结果表明,错误方差受多谱勒频率的变化影响最大,并且对实际的自适应调制系统,导频符号长度的取值超过20个符号长度时, map信道估计明显优于ml信道估计。
  5. 3 , on the base of the traditional spatial filtering , the author present , a new despeckle algorithm , that make use of iterated processing and correlated neighbourhood model , iterated filtering method of the sar image combining the correlated neighbourhood model with maximum a posteriori filter . first , a series of templates refecting direction information are established and every template is present for a kind of neighbour structure . then on the basis of sar images statistical property , the maximum a posteriori estimate of the real intensity under observation image values is got by bayes formulatio - n
    3 、针对传统空间滤波器的不足,引入迭代处理和相关邻域模型的概念,提出了基于相关邻域模型的最大后验迭代滤波。该算法引用一系列反映局部边界特征的邻域模型,以描述图像的细节。引入强度的先验概率分布模型,利用bayes方法,对各个结构进行实际强度的最大后验估计。
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Related Words

  1. posteriori
  2. a posteriori
  3. a posteriori probability
  4. a posteriori distinctiveness
  5. a posteriori estimation
  6. probabilities a posteriori
  7. a posteriori estimate
  8. probability a posteriori
  9. apa posteriori probability
  10. a posteriori elements
  11. maximum a posterior estimation
  12. maximum a posterior estimator
  13. maximum a posteriori equation
  14. maximum a posteriori estimation
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