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
Project
- complete code of face recognition project using 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
Grading-test
- 为实现合格和缺陷板栗的分级， 研究了 1 种基于 BP 神经网络与板栗图像特征的板栗分级方法。 试验以罗田板 栗为研究对象， 提取的颜色及纹理等 8 个特征值， 通过主成分分析提取相应的主成分得分向量构成模式识别的输入。 利 用 BP 神经网络方法建立了板栗分级模型。 试验结果表明， 在图像信息主成分因子数为 3， 中间层节点数为 12 时， 建立 的模型最佳， 模型训练时的回判率为 100 ， 预测时识别率达到了 91 .67 。 研究结果表明基于机器视觉技术的针对缺陷 板栗分
music1
- music Getting the eigen values and the eigen vectors
eigen-pwrmethdn5-1
- EIGEN VALUES ADVANCED PPT