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DetectionMethodofFabricDefecBasedonWaveletEntropy.
- 在采用二维离散小波变换对织物图像进行分解的基础上，引入了熵的概念，将小波熵作为织物图像的特征值，把熵值看作系统紊乱程度的度量，由此得到织物图像的小波熵特征值，通过与正常织物经过二维小波变换后提取的小波熵值相比较，熵值大者即认为有疵点存在-At the use of two-dimensional discrete wavelet transform decomposition of the fabric image, based on the introduction of the concep
TestArray
- 一个小程序，通过使用vc++调用MATLAB求特征值和特征向量和插值。-A small procedure, by using vc++ to call MATLAB for eigenvalues and eigenvectors and interpolation.
pptryosu5class2
- 用支持向量机对数据进行分类，每组数据有三个特征值分为五类-Using support vector machines for data classification, each group has three eigenvalues of the data is divided into five categories
eig_Jacobi
- 求对称矩阵全部特征值的Jacobi方法-Symmetric matrix for all the eigenvalues of Jacobi method
Jacobi
- 计算矩阵特征值和特征向量的Jacobi算法之程序实现-Calculation of matrix eigenvalues and eigenvectors of the Jacobi algorithm program
pcaProgram
- PCA算法程序设计步骤： 1、取均值 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 -PCA algorithm programming steps: 1, access means 2, the calculation of
eigen
- Computes the eigenvalues and eigenvectors of a real upper-Hessenberg Matrix using the QR method.
jocobirot
- 本程序是根据jacobi旋转法求实对称矩阵的全部特征值和特征向量-This procedure is based on realistic jacobi rotation symmetric matrix of all eigenvalues and eigenvectors
Code9
- Eigenvalues and eigenvectors
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 (eigenvectors) in simple structures
PCA
- This program carries out PCA analysis on a set of 6 bitmap images. The images contain objects against blank backgrounds. The eigenvalues and eigenvectors for the set of images are calculated and based on these decomposition coefficients are cal
ThePerformanceofFindingEigenvaluesandEigenvectors
- The Performance of Finding Eigenvalues and Eigenvectors of Dense Symmetric Matrices on Distributed Memory Computers
Dip_09
- 检测图像的各种特征值，并且可以动态的现实各种特征值-Detection of the various features of the value of image and reality can be a variety of dynamic eigenvalues
order
- 用c语言结构体编写的排序程序，对其中成员可按照任意特征值进行排序。-Structure with c language procedures for the preparation of the sort, members of which can be carried out in accordance with the sort of arbitrary eigenvalues.
CH3
- 3.2 实对称三对角阵的全部特征值与特征向量的计算csstq.c 3.3 约化一般实矩阵为赫申伯格矩阵的初等相似变换法chhbg.c 3.4 求赫申伯格矩阵全部特征值的QR方法chhqr.c 3.5 求实对称矩阵特征值与特征向量的雅可比法cjcbi.c-3.2 real symmetric tridiagonal matrix of all eigenvalues and eigenvectors of the calculation of csstq.c 3.3 Reduced g
Act5
- Eigenfunctions and Eigenvalues for for infinite potential well with different potentials.
eigenvectors
- Eigenvalues & Eigenvectors examples
IDEA
- Markov密码的(差分链)转移概率矩阵是双随机矩阵，其第二大（模）特征值对于确定Markov密码必要的迭代轮数有重要价值。该程序由本人编写，实现了求IDEA密码的缩小模型IDEA(8)的转移概率矩阵П0第二大（模）特征值-Markov password (differential chain) transition probability matrix is a doubly stochastic matrix, its second largest (modulus) eigenvalue
3
- 1、随机生成一个5*5矩阵A，元素符合均匀分布；再随机生成一个5*5矩阵B，元素符合正态分布。对A和B进行加、减、乘、除、比较等矩阵运算，查看运算结果。 2、创建5阶魔术矩阵，求A的行列式、特征值、逆、秩、迹、条件数。 3、假设矩阵 ，求A的LU分解、正交分解、特征值分解、奇异值分解。 4、创建6阶单位稀疏矩阵，并显示其全部元素。 -1, randomly generated a 5* 5 matrix A, elements in line with uniform
hw2
- 1.对一个256*256的图像进行DCT变换得到图像D，将D得斜下角数值置为零，然后进行DCT反变换. 2.对源图像进行K-L转换 1和2比较-1.Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2.. Apply DCT to these sub images, and get the transfo