为提高标准曲线的制作精度，探讨了重复测定条件下，标准曲线的统计比较与合并估计方法．。
To raise the accuracy in the drawing both the statistical comparison and the method of combined estimation of the standard Curve were approached the condition of repeateddetermination.
目的通过估计误差方差阵，对多传感器组合导航系统中不同的融合数据进行定位精度比较，为系统定位提供选择数据的依据。
Aim Using the variance matrix of estimated error, positional accuracy can be compared with different mixing together data, it has put forward a kind of basis for system location to select data.
最后模拟比较了这两种估计的精度。
And then we compare the degree of accuracy between the two methods of estimation.
光学设备测量数据因精度高而一般成为雷达精度校飞、实测数据固定偏差估计的比较标准。
The best precise observe data of optics is a standard of compare to estimate the constant error of radar in accuracy check flying and project.
通过和最小均方误差估计算法(MMSE)相比较，变门限聚类定位算法可有效消除低质量数据对定位结果的影响，从而提高了目标的定位精度。
By eliminating the possible influence produced by low quality data, the presented algorithm can improve localization precision effectively in comparison with the MMSE algorithm.
这项建议的目的，是过程的比较从两个不同的测试程序或文书确定的精度估计解决缺乏IWTO 0中。
This proposal seeks to address the lack of procedure in IWTO-0 for comparing precision estimates determined from two different test procedures or instruments.
运动估计通过比较同极性场的像素块绝对值差和（SAD）与运动阈值实现运动估计，并且利用前一场的运动信息进行鲁棒性处理，提高运动检测的精度。
Same-parity fields are used to improve the accuracy of motion estimation. It estimates the motion by comparing the sum of absolute block difference(SAD) between 4 fields with the threshold of motion.
该方法与普通卡尔曼预测方法相比较，能够提高预测精度，减缓了预测估计的发散。
Thus, the new prediction estimation algorithm is simplified. Comparing with ordinary Kalman prediction method, the new ones can increase the accuracy of stock tendency prediction.
在多普勒调频斜率估计中，时频分析法比较直观，估计精度也不错，脱机处理中获得了广泛的应用，图像偏移法估计速度快，在运动补偿中得到了应用。
Image offset method that is also fast can be applied to motion compensation, time-frequency method is intuitionistic and have a better accurate, which is applied extensively on offline.
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.
在分析比较组合预测与单个预测的精度(误差)大小基础上，给出了组合预测精度高于单个预测精度的条件，并给出了组合预测的精度估计公式。
On the foundation of the analysis and comparison of the error of the combination forecast and independent forecast, the paper has given the conditions of the former being least.
与极限平衡法和极大似然法的估计结果进行了比较，可以看出，神经网络方法具有推广预测精度高、自学习功能强、考虑不确定性能力强等特点。
The learned knowledge is then used for extrapolating prediction of the safety factor of new slope, Compared with the safety factors predicted by the limit equilibrium and m…
与极限平衡法和极大似然法的估计结果进行了比较，可以看出，神经网络方法具有推广预测精度高、自学习功能强、考虑不确定性能力强等特点。
The learned knowledge is then used for extrapolating prediction of the safety factor of new slope, Compared with the safety factors predicted by the limit equilibrium and maximum likelihood …
与极限平衡法和极大似然法的估计结果进行了比较，可以看出，神经网络方法具有推广预测精度高、自学习功能强、考虑不确定性能力强等特点。
The learned knowledge is then used for extrapolating prediction of the safety factor of new slope, Compared with the safety factors predicted by the limit equilibrium and maximum likelihood …
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