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1)  EM/SAGE algorithm
EM/SAGE算法
2)  SAGE algorithm
SAGE算法
1.
An iterative frequency tracking method in OFDM system based on SAGE algorithm;
一种基于SAGE算法的OFDM系统频偏跟踪技术
2.
Simulation results show SAGE algorithm has better performance than ML detection+ LMMSE channel estimation algorithm,and lower calculation complexity and quicker astringency than EM algorithm.
基于SAGE算法的信道估计和检测联合算法根据前一子块的译码结果,实时更新信道信息,充分利用译码包含的信道信息。
3)  adaptive Sage-Husa filter
Sage-Husa算法
4)  EM-like algorithm
类EM算法
1.
We derived the EM-like algorithm to estimate the model parameters through optimizing the system cost function.
通过优化系统的代价函数 ,导出了类EM算法去估计混合模型的参数 ,从而构建对光谱特征识别的识别器。
5)  EM
EM算法
1.
In the paper, Gaussian mixture model is used to describe the residuals of matches in the new robust algorithm for fundamental matrix estimation, and an improved split-merge EM (SMEM) algorithm is used to classify the matches, so that the false matches can be detected and rejected by the least mean absolute residual criteria.
该算法用高斯混合模型描述匹配点估计余差,采用改进的分裂合并EM算法对匹配点估计余差进行聚类分析,根据分类结果及平均余差最小规则筛选出正确匹配点类别,抛弃错误匹配点;最后,用M估计算法对筛选出的正确匹配点进行迭代求精。
2.
An EM algorithm is derived to compute maximum likelihood estimate.
分类器的学习采用半监督贝叶斯方法,使用EM算法求解最大似然估计,实验结果表明能够获得较好的结果。
6)  Expectation maximization algorithm
EM算法
1.
The three-dimensional reconstruction algorithm based on Susan operator and optical flow method and expectation maximization algorithm was introduced to slove the problem about the low degree of automation and inefficient in process of selecting feature points in target object in three-dimensional retrieval based three-dimensional reconstruction.
针对目前在基于三维建模的三维模型检索技术中存在的对目标物体特征点的选取自动化程度不高的问题,提出了基于Susan算子和光流法配合EM算法的三维重建算法,实验证明该算法有效。
补充资料:clary sage oi1
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