The first is the full information maximum likelihood method with linear constraint of coefficient matrixes in structure equation.
结构方程系数矩阵线性约束下的完全信息极大似然估计法。
In this paper, proposed is the informax fast algorithm of ICA using information maximum likelihood estimation with the Newton iterate algorithm.
本文基于信息极大似然估计，采用牛顿迭代算法，建立了ICA的一种信息极大快速算法。
An new approach which united per-particle maximum likelihood data association and negative information technology was adopted to handle the uncertainty of data association for FastSLAM.
采用一种基于单个粒子的最大似然数据关联和环境否定信息相结合的方法来解决未知环境中的数据关联问题。
In order to enhance the fault tolerance ability of the fault diagnosis model, information correction is thus adopted based on the maximum likelihood decoding theory.
为了提高模型的容错性，提出了基于最大似然译码原理的监测信号信息校正方法，然后利用编码基本网在无畸变信号的基础上进行故障诊断。
By employing the concept of statistical curvatures, the information loss of the maximum likelihood estimator and the generalized least squares estimator is investigated.
利用统计曲率的概念，研究结构方程模型的最大似然估计量和广义最小二乘估计量的信息损失，得到了简明的结果。
The emphases is the improvement to the quondam algorithm, namely, the hybrid maximum-likelihood estimation algorithm based on the information of both CP and pilot subcarriers.
重点分析了将循环前缀与导频子载波的冗余信息相结合的算法，相应地对原有算法的似然函数也进行了改进。
The emphases is the improvement to the quondam algorithm, namely, the hybrid maximum-likelihood estimation algorithm based on the information of both CP and pilot subcarriers.
重点分析了将循环前缀与导频子载波的冗余信息相结合的算法，相应地对原有算法的似然函数也进行了改进。
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