the estimation of this class of the distributed group can be done by the unbiased estimation, uniformly minimum variance estimation and the optimal linear unbiased estimation.
这一类分布族的参数估计可用无偏估计,一致最小方差无偏估计和最优线性无偏估计。
the estimation of this class of the distributed group can be done by the unbiased estimation, uniformly minimum variance estimation and the optimal linear unbiased estimation.
基于线性无偏最小方差估计理论,提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论,提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
the non - skew minimum variance estimation of triangle fuzzy states and the kalman filter of triangle fuzzy stochastic systems are discussed.
讨论了一类三角(或梯形)模糊状态的无偏最小方差估计及三角模糊随机系统的卡尔曼滤波问题。
based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed.
this paper is to study the linear minimum variance estimation for discrete-time systems with instantaneous and two time delayed measurements.
本文研究具有即时观测和两个延迟观测系统的线性最小均方差估计。
based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.