论述了天文定位的最优估计方法及其精度。
This paper describes an optimal estimating method for the celestial positioning and its accuracy.
该区间估计中包含了目标函数的一个最优估计值。
This estimated interval contained an estimated value of goal function.
这种滤波器是一个新的有用的最优估计递推滤波器。
进行卡尔曼滤波后，可以获得系统状态最优估计值。
After performing Kalman filter, the optimal state estimation can be obtained.
本文应用克里格法对点雨量和面雨量进行了最优估计。
In this paper, the Kriging method is used for optimal estimation of the point and areal precipitation.
同时也讨论了位置-刻度线性同变估计中的最优估计。
At the same time, we also find out the optimal estimators in the class of Location-Scale linear equivariant estimators.
稳定状态时网络的输出给出了空间信号源方向的最优估计。
The optimal direction estimation of spatial signal sources can be obtained from the output of the network when the network settled.
寿险合同准备金包括最优估计负债、风险边际和剩余边际。
Reserve of life insurance contracts consists of best estimated liability, risk margin and residual margin.
其中一种方法是基于当前最优估计值对状态方程进行线性化。
One of the algorithms is to linearized the state equation based on the optimal estimation.
给出了网络控制系统在不完全状态信息时系统状态的线性最优估计器；
The optimal estimator of system state for networked control systems without full state information is presented.
基于地毯法估计分形维数，提出了图像局部分形维数的最优估计方法。
Based on the blanket method, a novel algorithm for estimating the local fractal dimension of texture images is presented in this paper.
综合自联想网络的最优估计与故障诊断，自动区分估计误差和传感器故障。
Sensor fault detection is accomplished by integrating the optimal estimation and fault detection logic.
最大化超参数的边缘对数似然函数求得权值参数的最优估计即待重建图像。
With maximizing the marginal likelihood function of hyper-parameters, the optimal weights are acquired, i. e. the reconstructed image.
进而，我们利用超逼近分析技术得到了有限元解关于L2 -模的最优估计。
Secondly, by means of a superapproximation and interpolation postprocessing analysis technique, here we present optimal estimates and global superconvergence in the L2-norm for this method.
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。
Second, this method focuses on optimal smoothing of estimator for a single distribution and does not address optimal estimation of the ROC curve.
论述了基于最优估计理论的天文定位方法中天体高度测量精度与定位精度的关系。
Discussed the relationship between the altitude accuracy observed and accuracy of celestial positioning based on the optimal estimating method.
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。
The steady-state optimal estimation of singular systems is studied by applying ARMA innovation model.
对系统模型进行了状态最优估计周围的线性化和采样周期的离散化，给出了干扰方程。
Interferential equations are given after system models are transformed around optimization estimate of state to linearization and dispersed according to sampling period.
文中比较了三种融合估计的精度和计算负担，可应用于信息融合状态或信号最优估计。
Their precision and computational burdens are compared. They can be applied into optimal information fusion estimation for the states or signals.
运用卡尔曼滤波对系统误差进行最优估计，将校正后的SINS数据作为综合定位系统的输出。
The optimal filter technology (Kalman Filter) was used to estimate the error and the SINS was corrected by the optimal error.
本论文根据区域水环境预测中水盐监测与评价的要求，进行了水盐空间信息区域最优估计的研究。
On the basis of requirements on water-salt monitoring and evaluation in zone water environment forecasting, the optimum zonal estimate on the information of the water-salt was studied.
为了得到参数的最优估计和合理的精度评定，应利用赫尔默特方差分量估计法进行联合平差处理。
In order to obtain the optimal parameter estimates and reasonable accuracy evaluation should use Helmert variance component estimation method to deal with the combined adjustment.
引入像素强度的先验概率分布模型，运用模拟退火算法选择合适的邻域结构，获得强度的最优估计。
The prior information of pixel intense distribution is introduced. Then simulated annealing algorithm is applied to choose the proper neighborhood structure, and the optimal estimate can be obtained.
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。
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.
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。
All the methods of navigation and positioning are summarized and classified from the linear optimal estimation algorithms and the non-linear suboptimal estimation algorithms.
本文首先介绍了卡尔曼滤波器，对各种导航数据进行信息融合，从而组成导航系统，以获取系统状态的最优估计。
This paper first introduced the kalman filter, to all sorts of navigation data information fusion, thus constituting navigation system, in order to get the optimal estimation system state.
应用时间-空间信息对某区域化变量进行最优估计，以及应用时间-空间域的信息对空间分量及区域化因子进行最优估计。
Best estimation of regionalized variables by space-time information. 4 Best estimation of spatial components and regionalized factors by space-time information.
研究了全局最优融合估计算法。研究结果表明：全局最优估计的误差要小于局部估计的误差，即全局估计优于每一个局部估计。
In this paper, the algorithms of overall situafion optimum fusion estimate is studied. The study results prove that overall situafion optimum estimate is superior to part part estimate.
首先非线性堆滤波器用于求出图象某象素点邻域内的灰度最大值与最小值的最优估计，然后以此两估计值之差代替原象素点灰度值。
First, nonlinear stack filter is applied to estimate the maximum and minimum of noise-free image's gray scale value in a local region.
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