And what with the covariance matrix?
这样的协方差矩阵？
How to plot contour of a covariance matrix of a gaussian distribution?
如何绘制一个高斯分布的协方差矩阵的轮廓？
The eigenvalue of covariance matrix can be used to separate signal from noise.
利用协方差矩阵的特征值。能实现信号和噪声的分解。
The estimation of noise covariance matrix is based on iterative procedure in ML.
最大似然法采用了迭代的方法来估计噪声的协方差矩。
We can get the ellipticity and linearity from the eigenvalues of the covariance matrix.
由矩阵的特征值，求取椭圆率和线性因子。
DFT is used to estimate the covariance matrix of downlink channel of the path, not calculating DOA.
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。
The testing problem of double sample's average vector and covariance matrix has been solved in the paper.
从应用角度出发，解决了双样本均值向量和协方差矩阵的检验问题。
The computation formulas for the prediction error covariance matrix between any two subsystems are given.
同时给出了任两个传感器之间的预报误差协方差阵的计算公式。
Noise covariance matrix of a single vector hydrophone is studied with experiment results in the shallow water.
研究单个矢量水听器的噪声协方差矩阵，并给出了浅海近岸水域的试验结果；
The estimated spatial signature is adopted to construct the covariance matrix for high resolution DOA estimation.
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。
We concluded that the covariance matrix is nonpositive definite, there is either arbitrage opportunity or efficient subset.
当协方差矩阵非正定时，要么存在套利机会，要么存在有效子集（即有多余的证券存在）。
Thereinto, for the spectral decomposition estimate of the covariance matrix , we can gain the risk functions under some losses.
其中，对于观测向量协方差阵的谱分解估计，我们很容易得到它在一些损失下的风险函数。
Covariance velocity spectrum is based on the fact that the sampled data can be arranged in eigen structure of covariance matrix.
协方差速度谱是基于采样数据可以排列成协方差矩阵的特征结构而设计的。
In this paper, we offer the theories of hide periods and covariance matrix and use them to identify the fluid property of reservoir.
本文还介绍了隐周期和协方差阵理论以及用它们来分析测井信号。
Variance component model of the random effects of covariance matrix unit for the "Linear model introduction" matrix has been studied.
方差分量模型的随机效应的协方差为单位阵时《线性模型引论》已进行研究。
The variance-covariance matrix still include parameter of variance in this condition, so our purpose is to look for feasible estimations.
因为这时模型协方差阵结构仍含有方差参数，因此我们的目标是寻求可行估计。
Results Repeated measurement obtained reasonable results by the fixed and random effects along with efficient estimate of covariance matrix.
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。
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。
There are two forms of extended sequential estimation algorithm: 1. integrating error covariance matrix; 2. integrating state transition matrix.
推广的序贯估算法有两种形式：1。积分误差协方差矩阵，2。积分状态转移矩阵。
MUSIC (MUltiple SIgnal Characterization) is a special spectral estimation method based on the eigen decomposition of the sample covariance matrix.
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。
Based on the covariance matrix obtained by the weight perturbation algorithm, we propose to use a single port receiver for spatial spectrum estimate DF.
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。
The key of the presented filter is to derive the best estimate of the covariance matrix of the unbiased converted measurements in the mean-square sense.
这种滤波器的关键是在均方意义下推导无偏转换测量误差协方差阵的最佳估计。
It is shown that the new equivalent covariance matrix and weight matrix keep not only the symmetry but also the relevance of the original covariance matrix.
该等价协方差矩阵和等价权矩阵不仅保持了原有协方差矩阵和权矩阵的对称性，而且保持了原有协方差矩阵的相关性不变。
This paper deals with coherent radar polarimetric adaptive detection of targets in partially-homogeneous Gaussian clutter background with unknown covariance matrix.
本文研究了在未知统计特性的局部均匀高斯杂波环境中的相干雷达极化自适应目标检测问题。
Using EWMA to forecast the portfolio's dynamic transferred variance-covariance matrix, we can get more reasonable and precise dynamic transferred coefficient matrix.
采用EWMA模型预测动态变化的方差-协方差矩阵，从实证的角度得到更精准的动态迁移相关系数矩阵。
An expression for the mean and covariance matrix of normal random matrix polynomial is derived by applying the method of matrix differentiation to generating function.
本文应用对母函数微分的方法得到正态随机矩阵多项式的均值与协差阵的表达式。
Based on the eigenvalue decomposition of the converted measurement error covariance matrix, asymptotic behavior was given about the converted position measurement error.
基于转换测量误差协方差矩阵的特征值分解，给出了转换位置测量的时间渐近特性。
This paper points out that we can use the density function of the Gaussian distribution to set a thinned array, extending the covariance matrix will advance the gain clearly.
提出利用高斯随机分布的密度函数设置稀疏阵列，在稀疏阵列得到的协方差矩阵经扩展后，增益有了明显的提高。
This paper points out that we can use the density function of the Gaussian distribution to set a thinned array, extending the covariance matrix will advance the gain clearly.
提出利用高斯随机分布的密度函数设置稀疏阵列，在稀疏阵列得到的协方差矩阵经扩展后，增益有了明显的提高。
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