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sample covariance matrix相关的网络例句

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

Studying the positive definitiveness of the covariance matrix from discrete data is important to design the sampling plan and provides the base for the data analysis.However, there have been few outcomes about the positive definitiveness of covariance matrix, most of which have been restricted to the Covariance-matrix of continuous sample.

研究离散型样本协方差矩阵的正定性有助于判断是否可以降低样本的维数,有利于优化抽样个数,为抽样调查的优化设计方案提供一定的理论基础;为基于特征根的多元统计分析提供理论指导。

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。

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。

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。

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。

The spatial nulling is implicitly achieved by estimating a sample covariance matrix and feeding its inverse into the extended Kalman filter. Computer simulations demonstrate robust performance of the algorithm in severe jamming.

针对多元天线接收机,提出了空时自适应信号处理算法,建立基于EKF自适应滤波技术的抗干扰模型,分析表明:在J/S即干扰/信号为60dB时,能较好的抑制窄带和宽带干扰作用。

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