搜索资源列表
eigen
- D:\\matlab\\nmm\\eigen.rar特征值-D : \\ Matlab \\ nmm \\ eigen.rar eigenvalue
face_recognition_eigen
- Face recognition eigen-based by Santiago Serrano-eigen-based by Santiago Serrano
eigen
- D:\matlab\nmm\eigen.rar特征值-D : \ Matlab \ nmm \ eigen.rar eigenvalue
fiber_eigen_modes
- calculating fiber eigen modes -calculating fiber eigen modes
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.
facerecognition
- 使用Eigen face和PCA的方法进行面部识别.建立面部特征库,将输入的面部特征与库中数据比较找出近似的.-using Eigen face and PCA to do the face recognition. The final result is base on the threshold of Eigen face distance
Eigenkit
- face recognition using eigen values
eigenvectorsandfunctionsofdft
- Basics of Eigen vectors
eigen
- This a matlab code for right eigen vector and left eigen vector for power system-This is a matlab code for right eigen vector and left eigen vector for power system
eigen
- c code to calculate the eigen vector
facedetectionsvmeigenface
- SVM that uses eigen faces for face recognition
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 coefficie
eigen
- Eigen mathematical function for delphi 5 and higher
eigen
- Computes the eigenvalues and eigenvectors of a real upper-Hessenberg Matrix using the QR method.
eigen
- Program to solve for natural frequencies (eigenvalues) and resulting mode shapes (eigenvectors) in simple structures -Program to solve for natural frequencies (eigenvalues) and resulting mode shapes (eigenvector
power
- Power method of solution for highest/lowest eigen value.
Matlab_Implemenatation_faceRecognition
- Matlab code for face recognition eigen and fischer faces
fisherface
- this is a source code for face recognition using eigen faces
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 a
Eigen
- 运用Eigen，去求得特征向量与特征值，并验证是否正确。(Using the Eigen, to obtain eigenvector and eigenvalue, and verify whether it is right.)