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1)  measurement covariance
测量协方差
1.
An adapted measurement covariance digital Kalman filter method was proposed to eliminate the locating noises caused by motion blurring,air-drag and camera image distortion.
针对乒乓球高速运动图像模糊、空气阻力以及摄像机成像畸变等因素导致的误差问题,提出一种自适应测量协方差的离散Kalman轨迹估计算法。
2)  Interviewer Reliability
方差协方差分量
1.
Using Multivariate Generalizability Theory to Analyze Interviewer Reliability of National Public Servant Recruitment;
本研究探讨了这一先进而极富应用前景的现代测量理论模型,从多元概化理论的模型介绍,方差协方差分量的估计、解释,多元概化系数的计算,权重设定等方面较详尽地阐释了多元概化理论的内涵。
3)  Covariance Detection
协方差检测
4)  covariance measurement
协方差度量
5)  Covariance components
协方差分量
6)  Measurement variance
测量方差
1.
Algorithm of sensor management based on time-varying measurement variance;
基于测量方差时变的传感器管理算法
2.
In the algorithm based on Kalman filter and its extension, the presupposition of the measurement variance leads to filter divergence and waste of information, Hence , a new algorithm of multi-sensor fusion is presented based on time-varying of measurement variance and dynamic weight.
在基于卡尔曼滤波及其一些改进算法中,由于测量方差预先设定,从而导致滤波发散和信息资源的浪费,为此提出了一种动态加权下测量方差时变的多传感器融合算法。
3.
In the algorithm based on kalman filter and its extension, the presupposition of the measurement variance leads to the waste of information and descent of state estimation accuracy.
在基于卡尔曼滤波及其一些改进算法中,由于测量方差预先设定,从而导致信息资源的浪费和状态估计精度的下降,为此提出一种动态加权下测量方差自适应的同质多传感器融合算法。
补充资料:测量
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