搜索资源列表
Fast_Algorithm_estimating_the_number_of_sinusoids_
- Fast Algorithm estimating the number of sinusoids in a white Gaussian noise. This algorithm use a sub-space method based on chi-square statistics of eigen values of the Autocorrelation Matrix.
Eigenkit
- face recognition using eigen values
EigenFace
- This is a MFC program to test Principle Component Analysis (PCA) for constructing Eigenfaces. Using train images, it calculates Eigen values and Eigen vectors with sorting. Then reconstruct test images from PCA coefficients.
eigenvalues
- cuda编程，并行计算N体问题。cuda programming, parallel computing N-body problem.-cuda programming, parallel computing N-body problem.
eigenfilter
- finding eigen values
eigen
- 此程序为用matlab编写的基于最小二乘法通过求解广义矩阵特征值及特征向量进行椭圆曲线拟合程序。 程序中x,y分别为采样点的横纵坐标。生成的结果矩阵为椭圆曲线aX^2+bXY+cY^2+dX+eY+f=0中的各项系数。-This program was written with matlab by solving the generalized least square method based on matrix values and eigen vectors of the ellipt
harmonic_number
- ast Algorithm estimating the number of sinusoids in a white Gaussian noise. This algorithm use a sub-space method based on chi-square statistics of eigen values of the Autocorrelation Matrix.
MATSLISE2006
- MATSLISE is a Matlab application for the numerical study of Schringer and Sturm-Liouville problems. MATSLISE allows one to compute the eigen- values and eigenfunctions and to display them graphically. The numerical methods used are the CP met
NcutImage_7
- segmentatin using graph theory where the eigen values are obtained and segmentation is done
eigen-facial
- detect face from eigen values
lda_test
- Function to implement Linear Discriminant Analysis Usage:- [Xnew,V,mX,D] = lda(X,index,mX) [V,D] = lda(X,index) where:- X = concatenated grand profile vectors (GPV) i = class index of each vector Xnew = new feature v
pca
- Function to perform Principle Component Analysis over a set of training vectors passed as a concatenated matrix. Usage:- [V,D,M] = pca(X,n) [V,D] = pca(X,aM,n) where:- <input> X = concatenated set of column vectors
EigenfaceCore
- To find the Eigen values
pol_eigen
- To calculate the eigen vectors and eigen values, decomposition for a polarimetric radar data set
Simulation
- In modal analysis eigen values have to be found out. with these eigen values participation factor has to be found out. Modal analysis to be done for a 9bus,39 bus,30 and 14 bus system .Modal analysis with and without connecting a squirrel cage indu
Code1
- 3.Bifurcation analysis Bifurcation analysis has to be done for finding the different eigen values. eigen value plot has to be made for understanding the movement of the eigen values stable to unstable region to understand the stability of the syste
pca-master (1)
- 此源代码使用Eigen C ++库在C ++中实现了PCA算法。 运行代码所需的组件： - 安装Visual Studio 2012（Express Edition工作正常） - Windows操作系统（Windows 7或更高版本） 如何运行源代码： - 打开文件。\ pca \ PrincipalComponentAnalysis \ PrincipalComponentAnalysis \ Program.cpp - 在行和列变量中设置矩阵的尺寸。 - 在m变量中设置