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- The Bayesian estimation is derived through statistical analysis and it is shown to be equivalent to the maximization of the a Posteriori Probability. 通过理论分析得到了简化的贝叶斯信道估计权值,其等同将后向概率的最大化。
- The application of a Gaussian Markov Random Fields (GMRF) based Maximum A Posteriori Probability (MAP) estimation for image Gaussian noise filter was presented. 摘要提出了基于高斯马尔可夫随机场(GMRF)的最大后验概率(MAP)估计在图像高斯噪声滤波中的应用方法。
- Methods The medical image sequences were assumed to be in motion, and the pseudo-optical flow field was estimated by using iterative condition mode based on maximum a posteriori probability. 方法把医学序列图像假想为运动序列,然后根据最大后验规则,利用迭代条件模型来求解这个伪运动序列的伪光流场,达到消除帧间相关的目的。
- The soft-i n/soft-output Maximum a posteriori probability (MAP) algorithm is derived for the MDD.The iteration between the demodulation and the subsequent convolutional decoder is then developed. 导出了MDD下GMSK信号的软输入/软输出最大后验概率(MAP)算法,然后实现了解调器与其后的卷积码译码器之间的迭代译码。
- MAP (maximum a posteriori probability) MAP(最大后验概率)
- maximum a posteriori probability 最大后验概率
- a posteriori probability (APP) decoder 后验概率译码模块
- a posteriori probability distributions 后验概率
- Maximum a posteriori probability detection 最大后验概率检测
- maximum of a posteriori probability 最大后验概率
- Iterative multi-user detection of trellis code multiple access using a posteriori probabilities. 关于多用户检测的一篇好文章,希望大家有用。
- A posteriori Probability Analysis for Matched Field Inversion 匹配场反演后验概率分析
- Maximum a posteriori probability detection for free-space optical communication 自由空间光通信的最大后验概率检测
- Adaptive nonlinear class estimation algorithm using parallel subband HMM maximum a posteriori probability 并行子带HMM最大后验概率自适应非线性类估计算法
- Multiple Video Object Segmentation Based on Maximization of the A Posteriori Probability of Spatio-Temporal Label Field 基于时空标记场最大后验概率的多视频对象分割算法
- On Analyzing Matched Field Inversion Results Using a Posteriori Probability Distribution 匹配场反演结果的后验概率分析
- Pseudo-optical flow estimation for medical image sequences based on maximum a posteriori probability and Gibbs random field 基于吉伯斯随机场和最大后验概率的医学序列图像伪光流估计
- This is why a posteriori necessary troth is possible. 这就是后天必然真理之所以可能。
- a posteriori probability 后验概率
- In the process of decision with risks, if we using sampling theory, the best decision in prior probability and modified posteriori probability can be obtained. 在进行风险型决策过程中,若能结合抽样理论,就可以以最低的代价找到先验概率下及修正后的后验概率下选择最优决策方案。