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方差矩阵

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While the LCLS method is used to minimize the energy of the linearly fused information, the neural-network algorithm is developed to overcome the ill-conditioned and singular problems of the sample covariance matrix in the LCLS method.

LCLS方法用来最小化线性融合信息的能量,而神经网络算法则用来处理出现于LCLS方法中的样本协方差矩阵的不良条件和奇异性问题。

In the case where the sample covariance matrix is given, we perform the spatially smoothed Lanczos algorithm to fast compute the basis vectors for the signal subspace and the noise subspace.

如果阵列协方差矩阵是已知的,我们采用空间平滑的Lanczos算法快速估计信号子空间和噪声子空间。

A new approach is proposed to estimate the radial velocity by extracting the phase information of the off-diagonal elements in the sample covariance matrix. The technique is verified experimentally by both simulated and real SAR data.

在此基础上,提出一种新的运动目标测速定位方法,该方法通过提取双通道SAR数据的协方差矩阵非对角元素相位信息来对运动目标进行测速和定位。

For the case where the sample covariance matrix is unknown or the sample support is not sufficient to form the sample covariance matrix, we carry out the spatially smoothed CSA-MSWF to quickly find the signal subspace and the noise subspace.

如果阵列协方差矩阵是未知的,我们采用空间平滑的CSA-MSWF快速计算信号子空间和噪声子空间的基矢量。

In functional optical imaging,the very low SNR makes the sample covariance matrix have singularity,which brings the whitening the operation of the ICA denoising method to reduce the dimensionality,so the ICA denoising method will lost the signal detection ability.

在光学功能成像中,极低信噪比会使得样本协方差矩阵具有奇异性,因此导致Emir等人提出的ICA去噪方法在白化预处理过程会出现降维现象,最终使得该方法无法检测出信号。

In this paper, we get the distribution of the Bartletts decomposition of sample covariance matrices.

而把协方差矩阵当作相同的来处理,又会带来偏差。

Also, a traditional test method is proposed by the Bartletts decomposition of sample covariance matrices and the sample mean vectors.

另外本文还利用样本协方差矩阵的Bartlett分解和样本均值,给出了检验共同均值的一种传统方法,这种检验犯第一类错误的概率比标称的检验水平略低。

The improved criteria on the constraint conditions of kernel functions in our results should also provide a better understanding of the asymptotic properties of the ESD of large dimensional sample covariance matrices.

具我们结果中核函数的限制的改进准则,可以对大维样本协方差矩阵的经验谱分布的渐近性质有一个更进一步的理解。

For the singular spectrum analysis of time series, a method of constructing covariance matrix by using forth order cumulant is proposed. The method could restrain the Gaossian noise and symmetrical distributed noise mixed with chaotic signals.

对于时间序列的高阶奇异谱分析,提出了一种利用四阶累积量函数构造协方差矩阵的方法,该方法从理论上能有效地抑制叠加在混沌信号中的高斯噪声和对称分布噪声对重构结果的影响。

In order to optimize the energy consumption and to prolong the lifetime of networks, two schemes of local tasking node selection in a self-adaptive way are given in the decentralized sensor networks, including the scheme of nearest distance between target and nodes of candidate and the least trace of covariance matrix scheme.

为了优化网络的能耗以延长网络寿命,提出了两种在分布式传感器网络中局部节点自适应选择任务节点[2]的方法,包括目标-候选节点距离最小原则和候选节点协方差矩阵迹最小原则作为任务节点选择调度的两种方法。

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