admittance-matrix

识别图像中的矩形，正方形，圆，椭圆，线，点，菱形(Identify the image rectangle, square, circle, ellipse, line, point, diamond)

Poincare Sphere Plot of Polarimetry Stokes Vectors

FactorTutorial with some improvements to help in the examples. There is no answer here

mathews数值分析书的源代码，用matlab编写，第一章第十二部分。(mathews numerical analysis of the book' s source code, using matlab, the first chapter of Part XII.)

基于李雅普诺夫的睡眠脑电动力学分析 核心算法程序。(Lyapunov-based kinetic analysis of sleep EEG procedures for the core algorithm.)

try to remove the white blood cell and after that i try to segment and count the red blood cell

this source code is an implementation of both primary and secondary user distribution in a predefiened area in Matlab

信号方差计算，对初学者有很大帮助.请有用的欢迎下载(Signal variance, of great help for beginners. Useful welcome to download)

核回归方法图像复原算法工具包，内含完整MATLAB代码，以及测试图像、相应的参考文献。(kernel regretion based image restoration algorithm,including the whole MATLAB code,tested image and the ralated referances.)

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)