It is a new useful optimal estimation recursion filter.
这种滤波器是一个新的有用的最优估计递推滤波器。
The steady-state optimal estimation of singular systems is studied by applying ARMA innovation model.
基于多项式ARMA新息模型方法提出了随机奇异线性离散时间系统的稳态最优估计。
In this paper, the Kriging method is used for optimal estimation of the point and areal precipitation.
本文应用克里格法对点雨量和面雨量进行了最优估计。
Employing the optimal estimation can restore the pixels information in the corner effectively and rapidly.
为了有效和快速地恢复角点处的图像信息，采用了最优估值理论。
Therefore, the robust least square method with some additional conditions at the breakdown ratio being 20% was employed for optimal estimation of Muskingum parameters.
为此，采用崩溃率为20%、附有条件的抗差最小二乘法估计马斯京根汇流参数最优值。
Second, this method focuses on optimal smoothing of estimator for a single distribution and does not address optimal estimation of the ROC curve.
第二，他只关心单个分布函数的最优拟合，而不是直接对ROC曲线做最优估计。
Based on the theory of the optimal estimation, this paper proposes a multi-sensors decentralized algorithm to solve the parameter estimation problems in noise environment.
本文基于最优估计理论，提出了一种多传感器分散估计融合算法，以解决测量噪声干扰下参数估计问题。
All the methods of navigation and positioning are summarized and classified from the linear optimal estimation algorithms and the non-linear suboptimal estimation algorithms.
从线性最优估计算法和非线性次优估计算法两方面出发，对目前导航系统数据处理算法进行了归纳与分类。
This paper considers a linear optimal estimation problem for a stochastic process viewed as the output signal of the time delay stochastic systems driven by a white noise input.
本文研究在白噪声输入情况下，时滞系统随机输出信号的线性滤波估计问题。
Primary filter accomplishes the fusion of public state vectors about sub filters and time updating, and outputs the credible, precise and optimal estimation of navigation parameter error.
主滤波器(全局滤波器)进行子滤波器的公共状态矢量融合和时间更新，输出可靠、准确的导航参数误差的全局最优估计量。
The optimal estimation algorithm of measurement noise and the optimal state fusion algorithm for multi-channel system with multiplicative noises are mainly researched in this dissertation.
本文主要针对多通道带乘性噪声系统的观测噪声最优估计算法和状态最优融合估计算法展开进一步研究。
The optimal estimation algorithm of measurement noise and the optimal state fusion algorithm for multi-channel system with multiplicative noises are mainly researched in this dissertation.
本文主要针对多通道带乘性噪声系统的观测噪声最优估计算法和状态最优融合估计算法展开进一步研究。
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