covariance matrix
协方差矩阵：在统计学中
常用释义
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基本释义
- 协方差矩阵：在统计学中，用于衡量两个或多个随机变量之间的线性关系的矩阵。它描述了变量之间的协方差，可以用于分析变量之间的相关性和方差的分布。
例句
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1·And what with the covariance matrix?这样的协方差矩阵？
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2·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？
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3·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。
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4·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。
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5·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。
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6·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。
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7·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。
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8·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。
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9·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；
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10·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。