在卫星的状态估计过程中应用推广的序列估计算法，借助数值积分方法积分状态向量和协方差矩阵。
For the estimation of satellite state, the extended sequential estimation algorithm was applied. The numerical method was used to integrate state vector and error covariance matrix.
在不求出DOA的情况下，采用离散傅里叶变换来估计该路径下行信道协方差矩阵。
DFT is used to estimate the covariance matrix of downlink channel of the path, not calculating DOA.
利用了估计出的用户空间特征构造协方差矩阵进行空间平滑的高分辨DOA估计。
The estimated spatial signature is adopted to construct the covariance matrix for high resolution DOA estimation.
多重信号分类(MUSIC)算法是通过对数据协方差矩阵进行本征分解获得信号空间谱估计的方法。
MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the sample covariance matrix.
提出了利用边缘点集的协方差矩阵的特征值与特征矢量作为人脸图像尺度与方向的粗估计方法，从理论和实验上证明了该方法的可行性。
A new method for human face image scale and direction estimation is proposed using covariance matrix eigenvalue and eigenvector of edge set, which is proved by theory and experiments.
结果通过固定效应与随机效应及对协方差矩阵的估计，使重复测量数据得以合理的分析。
Results Repeated measurement obtained reasonable results by the fixed and random effects along with efficient estimate of covariance matrix.
基于用权微扰算法得到的协方差矩阵，提出了用单通道接收机实施空间谱估计测向。
Based on the covariance matrix obtained by the weight perturbation algorithm, we propose to use a single port receiver for spatial spectrum estimate DF.
融合预报协方差矩阵的自适应调整和状态空间鲁棒性估计，给出辨识戴维南等值参数的新算法。
Based on the robust estimation in the state-space and the adaptive modification of prediction covariance matrix, a new algorithm was proposed to track Thevenin equivalent parameters.
建立不完全数据回归方程，给出回归系数的最佳无偏整体估计及其协方差矩阵。
The regression equation for incomplete data is established, and the best unbiased integral estimators of the regression parameters and their covariance matrix are also given.
利用阵列输出协方差矩阵的特殊结构，本文提出一种基于QR分解的高分辨谱估计方法及其改进形式。
In this paper, by using the special structure of the covariance matrix, a fast high resolution method based on QR decomposition is presented.
利用马尔柯夫估计，推导了GPS整周模糊度估计矢量和导航定位参数估计矢量的表达式，以及相应的协方差矩阵；
The GPS integer ambiguity estimates, the navigation parameter estimates and their variance-covariance matrix are derived by using Markovian estimation.
再以该近似解和协方差矩阵为初值，由无迹卡尔曼滤波(ukf)实时估计双差整周模糊度的精确解。
Then the float ambiguity resolution was passed into an unscented Kalman filter as initial state value. UKF estimated the precise ambiguity resolution in real time with the initial value.
该文在系统矩阵和噪声输入矩阵均存在参数摄动的情形下，研究其协方差的定界估计问题。
This paper studies the estimation problem of definite bound for covariance when there are parameter perturbations in the system matrix and the noise input matrix.
为了解决秩亏RCF（robust Capon filter-bank）谱估计方法的估计性能不稳健问题，提出一种基于奇异协方差矩阵的谱 估计 方法。
A spectral estimator based on the rank-deficient sample covariance matrix was developed to improve the robustness of estimates of the rank-deficient robust Capon filter-bank (RCF) spectral estimator.
为了解决秩亏RCF（robust Capon filter-bank）谱估计方法的估计性能不稳健问题，提出一种基于奇异协方差矩阵的谱 估计 方法。
A spectral estimator based on the rank-deficient sample covariance matrix was developed to improve the robustness of estimates of the rank-deficient robust Capon filter-bank (RCF) spectral estimator.
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