Description: 求取矩阵的协方差矩阵,本人以前编写的,大家要用的话,估计要进行适当的修改-strike covariance matrix of matrices, I used to prepare, we use the words, it is estimated to proper changes Platform: |
Size: 1206272 |
Author:冯涛 |
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Description: VC 6.0下的主成分分析代码,包括关系矩阵,协方差矩阵,以及因子分析的功能-VC 6.0 Principal Component Analysis code, including the relationship matrix, covariance matrix, and the function of factor analysis Platform: |
Size: 241664 |
Author:Eniak |
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Description: 马氏距离判别(MahalanobisDistanceDiscrimination)的演示过程,求均值向量,协方差矩阵及线形判别函数-Mahalanobis distance criterion (MahalanobisDistanceDiscrimina tion) demonstration process for the mean and covariance matrix and linear discriminant function Platform: |
Size: 3072 |
Author:陈伟 |
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Description: (1)应用9×9的窗口对上述图象进行随机抽样,共抽样200块子图象;
(2)将所有子图象按列相接变成一个81维的行向量;
(3)对所有200个行向量进行KL变换,求出其对应的协方差矩阵的特征向量和特征值,按降序排列特征值以及所对应的特征向量;
(4)选择前40个最大特征值所对应的特征向量作为主元,将原图象块向这40个特征向量上投影,所获得的投影系数就是这个子块的特征向量。
(5)求出所有子块的特征向量。
-(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector. Platform: |
Size: 64512 |
Author:ly |
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Description: 本文提出一种新的相干波束形成方法,利用内插变换对相干背景下的真实阵列进行虚拟平移,得到多个虚拟平移后的信号协方差矩阵;对其进行平均后,所得到的相干信号协方差矩阵具有满秩性。利用一般的波束形成法求出最优权向量。该方法解决了五阵元均匀圆阵下二维相干信号的波束形成问题。-This paper presents a new coherent beamforming methods, the use of interpolation transform the context of coherent arrays of virtual real translation, from a number of virtual post-translational signal covariance matrix their average after by Coherent signal covariance matrix has full rank of. Beamforming using the general method to derive the optimal weight vector. The method to solve a five-element uniform circular array of two-dimensional signals coherent beamforming problem. Platform: |
Size: 1330176 |
Author:关成 |
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Description: EKF-SLAM Simulator
This version of the simulator uses global variables for
all large objects, such as the state covariance matrix.
While bad programming practice, it is a necessary evil
for MatLab efficiency, as MatLab has no facility to avoid
gratuitous memory allocation and copying when passing
(and modifying) variables between functions. With this
concession, effort has been made to keep the code as
clean and modular as possible. Platform: |
Size: 18432 |
Author:唐新杰 |
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Description: 程序设计步骤:
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步)
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量-Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction Platform: |
Size: 1024 |
Author:lrx |
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Description: 极化SAR图像处理中,将协方差矩阵转换为STOKES矩阵或Mueller矩阵的程序-Polarization SAR image processing, the covariance matrix will be converted to matrix or Mueller matrix STOKES procedures Platform: |
Size: 1024 |
Author:王文光 |
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Description: 极化SAR图像中的将协方差矩阵数据进行PAULI分解的程序-Polarization SAR images will covariance matrix data Pauli decomposition process Platform: |
Size: 1024 |
Author:王文光 |
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Description: The angles in degrees of the two spatially propagating signals
Compute the array response vectors of the two signals
Compute the true covariance matrix Platform: |
Size: 250880 |
Author:zhaocuiqin |
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Description: 使用INTEL矢量统计类库的程序,包括以下功能:
Raw and central moments up to 4th order
Kurtosis and Skewness
Variation Coefficient
Quantiles and Order Statistics
Minimum and Maximum
Variance-Covariance/Correlation matrix
Pooled/Group Variance-Covariance/Correlation Matrix and Mean
Partial Variance-Covariance/Correlation matrix
Robust Estimators for Variance-Covariance Matrix and Mean in presence of outliers-INTEL vector statistical library use procedures, including the following features: Raw and central moments up to 4th order Kurtosis and Skewness Variation Coefficient Quantiles and Order Statistics Minimum and Maximum Variance-Covariance/Correlation matrix Pooled/Group Variance-Covariance/Correlation Matrix and Mean Partial Variance-Covariance/Correlation matrix Robust Estimators for Variance-Covariance Matrix and Mean in presence of outliers Platform: |
Size: 114688 |
Author:mktresearch |
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Description: 一种Kalman滤波系统误差及其协方差矩阵的半参数估计方法的研究文章-A Kalman filter system error covariance matrix and the semi-parametric estimation methods of research papers Platform: |
Size: 354304 |
Author:王华 |
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Description: 本程序编程语言为C,主要用来对遥感训练数据进行处理,得到covariance矩阵。-This program is used to generate 3 files:mean file,covariance matrix of the training set, and inverse covariance matrix for training set. Platform: |
Size: 4096 |
Author:李会利 |
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Description: Mahalanobis距離是一個可以準確找出資料分布上面極端值(Outliers)的統計方法,使用線性迴歸的概念,也就是說他使用的是共變數矩陣以及該資料分布的平均數來找尋極端值的產生,而可以讓一群資料系統具有穩健性(Robust),去除不必要的雜訊訊息,這邊拿前面共變數矩陣的資料為例,並且新增了兩個點座標向量來做Mahalanobis距離的比較-Mahalanobis distance is the information that can accurately identify the distribution of the above extreme values (Outliers) statistical methods, the concept of using a linear regression, meaning that he used the covariance matrix and the distribution of the information to find the extreme values of the average production of , but can allow a group of information systems with the robustness (Robust), removing unnecessary noise message here get in front of the data covariance matrix, for example, and added two points, coordinates of vectors to do comparison of Mahalanobis distance Platform: |
Size: 1024 |
Author:nip |
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Description: 块自适应处理算法先有采样快拍数据计算采样协方差矩阵,再来计算自适应权矢量。典型的块自适应处理算法为采样矩阵求逆(SMI)算法。仿真了采样矩阵求逆法(SMI)的波束形成方向图旁瓣的高低受信号快拍数的影响。-Block adaptive processing algorithms prior sample snapshot data of the sampling covariance matrix, again computing adaptive weight vector. A typical block adaptive processing algorithms for the sample matrix inversion (SMI) algorithm. Simulation of the sampling matrix inversion method (SMI) beamforming pattern sidelobe level of the signal by the number of snapshots. Platform: |
Size: 1024 |
Author:Billy |
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Description: 导航系统误差及其协方差阵的随机加权拟合.-Navigation system errors and the covariance matrix of random weighted fit. Platform: |
Size: 283648 |
Author:zhou |
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Description: 协方差矩阵的编程,通过这个程序可以计算协方差,-programme of covariance matrix,Through this program can calculate the covariance
Platform: |
Size: 560128 |
Author:MOoo_Len |
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