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1)  covariance matrix estimation
协方差矩阵估计
1.
For the environment in which the clutter power changes slowly with distance,a novel weighting maximum likelihood estimation(WMLE) algorithm is proposed that uses the Bayes criterion to improve the approximative covariance matrix estimation for Space-Time Adaptive Processing(STAP).
针对杂波功率随距离缓变的非均匀环境,提出了一种新的基于Bayes准则的加权最大似然估计(WMLE)算法,以改善空时自适应处理(STAP)中的协方差矩阵估计
2.
For the clutter power slowly changed environment—range-dependent nonhomogeneity,the weighting covariance matrix estimation algorithm is proposed which is based on the relative distance criterion.
针对杂波功率依距离缓变的非均匀环境,提出了基于相对距离准则的加权协方差矩阵估计算法。
2)  estimation error of the covarianee matrix
协方差矩阵估计误差
3)  The variance-covariance matrix of M-estimation
M估计的方差协方差矩阵
4)  covariance matrix calculating
方差矩阵估计
5)  covariance matrix estimator
协方差阵估计
6)  covariance matrix
协方差矩阵
1.
An improved spatial smoothing technique based on covariance matrix;
基于协方差矩阵的空间平滑解相干算法
2.
Multiple targets angle tracking algorithm based on the elements of the covariance matrix;
基于协方差矩阵元素的多目标角跟踪方法
3.
A Storage Design of the Covariance Matrix and It s Derivative in the Algorithm of Mixed Model;
混合模型算法中协方差矩阵及其导数信息的存储设计
补充资料:方差估计值
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性质:由样本测定值计算的方差S2,称为样本方差,S2是总体方差σ2的无偏估计值。因此,S2又称为方差估计值或估计方差。S和σ分别为样品测定值的标准差和样本总体呈正态分布的标准差。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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