搜索资源列表
GrayShow
- 灰度共生矩阵的源代码,提供计算5种常用的灰度共生矩阵的特征值-GLCM source code, commonly used to provide computing 5 eigenvalues GLCM
Smooth-Music
- Smooth-Music ,Direction of Arrival Estimation In a communication situation, assuming flat fading,there may be multipath components from many directions. These components would be correlated with each other. Correlated components reduce the rank of
Matlab
- Matlab软件求矩阵的特征值,进行矩阵的初等变换;讨论向量组的线性相关性等运算。-Matlab software, the eigenvalues of a matrix, the matrix of the elementary transformation discussion of linear correlation vector group such operations.
Jacobi
- 数值分析中用Jacobi法求方程特征值和特征向量的C程序-Numerical Analysis Method using Jacobi equations eigenvalues and eigenvectors of C program
PCA_nvecs
- PCA转换之后,会得到按序排列的特征值和特征向量,取前n个,进行PCA投影-After PCA transformation, will be in descending order of eigenvalues and eigenvectors, fetch the first n months, for PCA projection
Matrix_Pencil
- 出一种实现不同维间估计结果自动配对的二维频率估计算法。首先把二维频率估计问题转化成两个矩阵束的特征值问题。根据矩阵束的特征求出两个矩阵束的公共特征向量,并以此为基础同时求出两个矩阵束的特征值。算法估计误差与现有算法相近,但解决了现有算法普遍存在的配对难题。 -Matrix pencils play an important role in numerical linear algebra. The problem of finding the eigenvalues of a pencil
yakebi
- 用Jacobi方法求正交矩阵的特征值与特征向量-Orthogonal matrix with the Jacobi method for solving the eigenvalues and eigenvectors
Eigenvalue
- 有关矩阵特征值的MATLAB源程序,解决数学建模问题中矩阵特征值的求解-Eigenvalues of the matrix MATLAB source code to solve the problem in mathematical modeling for solving matrix eigenvalue
EigenvalueComplexMatrices
- 两篇关于求复矩阵特征值与特征向量的文献.信号处理的很多领域都需要对矩阵的特征值和特征矢量精确求解,利用它们的结果进行下一步处理。比如,阵列信号处理中MU SIC算法,就是利用噪声子空间特征矢量特性进行估计的方法。-some papers about solving Eigenvalue of a complex matrix.Several kinds of classic algorithms for solving eigenvalues and eigenvectors of the m
arioarpackage
- library which computes eigenvalues and eigenvectors of large sparse matrices, accessible via the built-in EIGS command-library which computes eigenvalues and eigenvectors of large sparse matrices, accessible via the built-in EIGS command
Eig
- 求特征值和特征向量的源代码 请大家指教 用c++编译-Eigenvalues and eigenvectors of seeking the source code, please teach us to use c++ compiler
ImageRetrievalAlgorithm
- 文是一种基于灰度共生矩阵的图像相似性检索算法,首先将图像分成互不重叠的子图像块,根据子图像 块中像素间灰度差别重新设置每个像素的灰度值为0或l,然后将整个图像重新划分成子块,对子块编码,最后借 助共生矩阵提取的不同方向的特征值来检索图像的相似性。实验结果表明本文算法对图像相似性的检索比传统 方法GLCM、CCM更有效,且检索效率较高,更重要的是此算法还可以反应不同方向上图像的相似度。-Man is an image based on gray level co-occurrence
shuzhijisuan
- 插值和拟合、数值微分和数值积分、求解线性方程组的直接法和迭代法、 计算矩阵特征值和特征向量和常微分方程数值解等问题。-Interpolation and fitting, numerical differentiation and numerical integration, solving linear equations of the direct method and iterative method of calculating matrix eigenvalues and eigenv
shuzhijisuan2
- matlab中关于矩阵的分解,行列式,逆。矩阵的特征值,矩阵函数,奇异值分解,最小二乘法,函数的导数以及偏倒数,梯度,切平面以及积分与卷积等的原理,以及具体程序编写的例子-matlab on Matrices, determinant, inverse. Eigenvalues, matrix functions, singular value decomposition, least squares, and the partial derivative of the function inv
project
- Eigenvalues and eigenvectors of a matrix
Hubbard
- 计算m个格点n个粒子组成的费米系统的本征值-Calculation of grid points n-m particles of the Fermi system eigenvalues
feisher
- PCA的步骤: 1 先将数据中心化; 2 求得的协方差矩阵; 3 求出协方差矩阵的特征值与特征向量; 4 将特征值与特征向量进行排序; 5 根据要降维的维数d’,求得要降维的投影方向; 6 求出降维后的数据; -PCA steps: 1 of the first data center 2 covariance matrix obtained 3 obtained covariance matrix eigenvalues and eigenvectors 4
FindEigenvalue4thorderBVP
- 此程序用于求解四阶常微分边值问题的特征值问题,算例说明附在其中。-Finding the eigenvalues for 4-th order (BVP)ODE
BVP4C_TenAnn
- 根据matlab的bvp4c函数的例子思想方法,求解特征值和特征函数,可以解变积分边界的问题,但是须给一个比较精确的初特征值。此为自编程序,已经标明注释。所附为bvp4c相关例子(此从matlab帮助文件节选)。-use the matlab solver bvp4c to obtain the both eigenvalues and eigenfunctions of BVPs, an exact initial eigenvalue is needed.
jacobi
- jacobi求矩阵特征值 很有用的数值计算方法-a C++ method for eigenvalues