方差矩阵

In this paper, an improvement is made through selecting a group of normal orthogonal vectors in feature subspace, to generate large amount of virtual training samples.

摘要在模式特征子空间中选取一组标准正交向量，使用这组向量可以生成大量的虚拟训练样本，从而实现对协方差矩阵的优化。

Firstly, the principal components of the variance matrix are adopted to compute the scale and orientation of tracking target, then the similarity measure and Kalman filter are used to update the tracking window.

首先，采用跟踪窗口内协方差矩阵主分量分析法来计算跟踪目标的方向和尺寸大小；然后，联合相似性度量和卡尔曼滤波器来更新跟踪窗口的大小和方向倾角，使之适应目标的变化。

The strong coherence between target sources leads to rank loss of covariance matrix of receiving data may, and hence cause incomplete target report.

目标源之间的强相干性，引起接收数据的协方差矩阵的秩亏损，从而可能导致目标漏报。

We choose an optimal model for functional mapping via comparing various combinations of submodels for mean vectors of QTL genotypes and residual covariance matrix according to statistical power of detecting QTL.

根据QTL的统计检测效率，通过比较关于QTL基因型的期望均值向量和剩余误差的协方差矩阵的子模型的不同组合，来筛选优化的功能定位模型。

Modeling time-dependent expected mean vectors of QTL genotypes and the structure of the within-subject residual covariance matrix are the essence for functional mapping QTL of dynamic traits.

拟合与时间相关的QTL基因型的期望均值向量和剩余误差的协方差矩阵是动态性状功能定位的核心内容。

This method exploits eigenstructure of thd received signal's sample correlation matrix in which the observation space can be partitioned into a signal subspace and a noise subspace.

该方法利用了接收信号协方差矩阵的特征结构，把观测子空间分解成为信号子空间和噪声子空间。

The algorithm reduces the dimension of the input vectors by using the Toeplitz technique for the sample correlation matrix and needs only the first column of the processed matrix.

该算法仅将Toeplitz化后的采样协方差矩阵的第一列元素作为网络输入，从而降低了输入矢量的维数。

Nevertheless, in many practical applications such as in low sample support or when the signal statistics are rapidly time-varying, we may not have enough sample to form the sample covariance matrix.

然而，常规的子空间估计方法由于涉及到阵列协方差矩阵的估计及其特征值分解，从而需要较高的计算复杂度。

Based on the previous fault possibility distribution kept within the sample mean and covariance matrix with forgetting factors,a strategy for constructing the target output of the new training sample set was ...

该算法通过带有遗忘因子的样本均值和样本协方差矩阵保存样本所包含的故障可能性分布信息，并在此基础上产生新增样本的目标输出，用于训练FBF网络，以实现故障分类边界的在线跟踪。

The second eigenvalue of the sample covariance matrix of dual-channel SAR data can effectively indicate the ground moving targets.

利用双通道合成孔径雷达(synthetic aperture radar， SAR)数据的协方差矩阵的第二特征值，可以有效地检测地面运动目标。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。