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sample covariance相关的网络例句

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与 sample covariance 相关的网络例句 [注:此内容来源于网络,仅供参考]

The key technique in the MUSIC algorithm is the signal subspace extraction which can be found from the eigen decomposition of the sample covariance matrix of the antenna receive signal. The eigen value decomposition of a Hermitian matrix is implemented by using the QR algorithm, and the signal subspace is constituted by collecting the significant eigen vectors.

在复合信号分类演算法中的重要关键为信号子空间与杂讯子空间的分解,这两个子空间可以利用对天线收到信号的取样共变异矩阵做特徵值分解中求出,本篇并以QR演算法实现厄米特矩阵之特徵值分解,信号子空间便是由分解后的特徵向量所集合而成。

In the beamformer based on sample covariance matrix inverse algorithm, the calculation of weight vector comprises the components of interferences and noise. The projection method comprises the components of interferences. It induces the imperfective results of the beamformer.

摘要基于协方差矩阵加权的波束形成方法在计算加权向量时引进干扰和噪声的影响,投影方法在计算加权向量时引进干扰信号的影响,这些都造成了波束形成效果的不理想。

Moreover, it processes only a single snapshot data with no use for the formation of the sample covariance matrix and matrix inversion operation.

同时,它只对单快拍数据进行处理,避免了样本协方差矩阵的构造以及矩阵求逆运算,更适合于实时处理。

Mapping ordered eigenvalue points of sample covariance matrix of the observation data onto Hough parametric space,the number of eigenvalues of noises can be estimated by detecting the peak points on Hough parametric space,and thus the number of signal source is determined.

该方法通过Hough变换将观测数据的采样协方差矩阵的排序特征值点投影到Hough参数空间,通过检测Hough参数空间中积累的峰值来估计噪声特征值的数目,从而确定信源的个数。

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。

However,for the large dimensional data.the sample covariance matrix is not a good estimator of the population counterpart.Many methods of parametric estimations and tests for multivariate statistical problems can not be simply used to deal with large dimensional data.

但是由于经典的大样本理论都是假定维数很小是固定的,故而经典极限理论并不适宜解决大维随机数据问题,很多多元问题的模型参数估计、模型检验的统计量已有的结果对大维海量数据并不能平凡推广。

The algorithm processes very few snapshot data opposed to forming sample covariance matrix and computing matrix inversion.

它无需构造协方差矩阵及进行矩阵求逆,又避免了复杂度较高的广义特征值分解。

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。

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