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eigenvectorsandfunctionsofdft
- Basics of Eigen vectors
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.
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
Sort-a-set-of-eigenvectors-and-corresponding-eige
- Sorting the eigen vectors
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
pol_eigen
- To calculate the eigen vectors and eigen values, decomposition for a polarimetric radar data set
modes-of-the-waveguide
- the rar files includes the notes about the modal expansion and also the orthogality of eigen vectors which is the modes of a waveguide clearly.
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
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
assign1-matlab-code
- eignvaluse and eigen vectors roles in determinant an drank
EigenvaluesEigenvectors
- this pdf is about EIGEN VALUES AND EIGEN VECTORS
orthogonal
- All that it guaranties is that all points on that wave have a definite relative amplitude. So, that is the beauty of the mode shape the mode shape does not dictate the absolute value of the deflection. Similarly you can do it for all of them and you