搜索资源列表
NPE
- 本代码实现基于成对约束的半监督图嵌入算法-Following the intuition that the image variation of faces can be effectively modeled by low dimensional linear spaces, we propose a novel linear subspace learning method for face analysis in the framework of graph embeddi
eigenvalues_decomposition
- stand alone header file implementing eigen value decomposition for a symmetric matrix-stand alone header file implementing eigen value decomposition for a symmetric matrix
Makefile
- eigen matrix will automatically delete the directory of debug and release The content is too simple Is not a sourcecode or document Descr iption is not detailed or not correct-eigen matrix will automatically delete the directory of debug and release
EigValCalc
- 数值计算：使用幂法、反幂法、LU分解等求解矩阵的按模最大特征值、按模最小特征值、第二条件数以及矩阵行列式值的C++源码实现-C++ implemented Power Method, Inverse Power Method, LU to calculate the eigen & det value of a matrix
eigen
- Compute the eigenvalues of the transition matrix
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.
MP_DOA
- 针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低 信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。-To overcome the multipath e
MUSIC-source-based-decorrelation
- MUSIC算法是基于天线阵列协方差矩阵的特征分解类DOA估计算法，这里给出的是基于解相干的MUSIC算法。-MUSIC algorithm is based on the antenna array covariance matrix eigen-decomposition DOA estimation algorithm presented here is based on the MUSIC algorithm decoherence.
eigen
- c语言实现的对称矩阵求特征值特征向量源码-symmetric matrix c language source eigenvalues
Eigen-decomposition
- 矩阵特征分解算法的C代码程序包，包括瑞利商算法、Givens旋转算法、QL分解，和雅可比循环算法，另有一篇英文文档详细描述了各种算法函数的参数，程序思路。 -This is C code packet for Matrix decomposition algorithms including C file of Rayleigh s quotient method, Givens bisection method, QL method and Jacobi cyclic method as
Eigen-3.2.2
- Eigen非常方便矩阵操作，当然它的功能不止如此，由于本人只用到了它的矩阵相关操作，所以这里只给出了它的一些矩阵相关的简单用法，以方便快速入门。矩阵操作在算法研究过程中，非常重要，例如在图像处理中二维高斯拟合求取光斑中心时使用Eigen提供的矩阵算法。Eigen用源码的方式提供给用户使用，在使用时只需要包含Eigen的头文件即可进行使用。-Eigen is a C++ template library for linear algebra: matrices, vectors, numerica
evd
- Finding the eigenvalues and eigenvectors of a symmetric matrix The algorithm finds eigen pairs of a symmetric matrix by reducing it to tridiagonal form and using the QL/QR algorithm.
Eigen4AutoIt.v0.9.7z
- autoit 矩阵扩展库，，谷歌也在用的eigen-autoit eigen matrix
delayspre
- required by the algorithm[8]. The step size parameter controls the convergence speed. Hence the algorithm depends on the step size. The step size is a positive constant value which control the size of increment applied in one iteration to the next. T
Calculate Eigen Value Using Rayleigh's Method
- This source code in Matlab calculate the Eigen value of a matrix using Rayleigh's Method.
matrix_relatedAlgorithm
- 矩阵先关运算，比如特征值分解，矩阵求逆。(Matrix related computation code, such as eigen value compuation, matrix inversion, etc.)
SVD_C++
- C++实现矩阵的SVD分解，矩阵基本运算“+，-，*，/”，三角分解，QR分解，矩阵显示，矩阵转置，矩阵特征值与特征向量运算. 并在 Source.cpp中附有使用例子代码，方便读者快速上手。 经本人测试，完全可以运行，放心使用。 对于SVD分解，经过与matlab中结果对比，发现，当矩阵的列数>=行数时，基本没问题。(Using C++ language realizes the SVD decomposition of matrix,as well as the basic o
eigen-eigen-5a0156e40feb
- C++矩阵工具库，可以执行矩阵的加减乘除、矩阵的各种分解，矩阵的特征值和特征向量，速度适中(C++ matrix tool library, can perform various matrix decomposition, add, subtract, multiply and divide matrix, eigenvalue and eigenvector, moderate speed)
PCA程序
- 实现主成分分析 % Usage: % [eigvector, eigvalue] = PCA(data, options) % [eigvector, eigvalue] = PCA(data) % % Input: % data - Data matrix. Each row vector of fea is a data point. % % options.ReducedDim