构建帕累托最优模糊系统的模糊建模方法

描述了利用矩阵方式产生单极性归零码的过程，并给出单极性归零码的码型和功率谱。(Matrix describes the way the use of unipolar NRZ process, and gives the code NRZ unipolar and power spectrum.)

针对灰度图像，提出一种基于知识的人脸检测方法。 提出了一种给予支持向量机的人脸检测方法。 提出了一种基于小波分解的LDA人脸识别方法。 提出了一种基于小波和DCT的人脸识别方法。 提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。 (For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wavelet decomposition of the LDA-based face recognition methods. A wavelet and DCT-based face recognition methods. A CEDT opportunities and support vector machine classification and face recognition.)

Arnold变化~~~matlab 含逆变换及周期计算(Arnold)

基于粒子群算法优化的支持向量机分类算法，该算法可完成数据分类、回归分析的功能。(Support vector machine classification algorithm based on particle swarm optimization algorithm, the algorithm can accomplish the function of data classification and regression analysis.)

利用有限元理论，求一二维梁的固有频率和振型。短边固定，给定长度、横截面积，弹性模量及材料密度已知。并对比理论计算结果进行分析。各参数自己设定

这是分散算法的 matlab 代码。在此固定标识点。我们需要知道的色散持续时间和阈值。色散是根据公式计算得到 （max(x)-min(x)/max(y)-min(y))。现在我们通过与阈值比较，计算色散

若系统中有信息不完全或不确知的现象，则称为系统的灰色性。这种具有灰色性的系统，称为灰色系统。(If the system has incomplete information or not sure, then known as the system of the gray. This kind of gray system, known as the Gray system.)

adaboost代码，比较简单。但方便了解Adaboost算法的基本原理(The aim of the project is to provide a source of the meta-learning algorithm known as AdaBoost to improve the performance of the user-defined classifiers. )

说明：  Household变换，利用仿真数据进行ftt，最小二乘法的多项式拟合(House transform, polynomial fitting of FTT and least square method with simulation data)

计算机视觉实验四--利用所给步骤编写cany算子边缘检测比较采用Matlab自带cany函数的边缘检测(Computer vision experiments 4- to step in the preparation of cany use of edge detection operator used to compare the Matlab edge detection function built-cany)