EMD-denoising

fem_matlab有许多基本程序，解答各种微分方程，这些都是在FEM中可能用到的。(fem_matlab There are many basic procedures, to answer a variety of differential equations, which are in the FEM may be used.)

emd code with detail commnet

说明：  This paper presents a Matlab Simulink model of a single-phase 2kVA Voltage Controlled Voltage Source

Matlab被称为第四代计算机语言，利用其丰富的函数资源，可使编程人员从繁琐的代码中解脱出来。Matlab用更直观、符合人们思维习惯的代码，代替了C和Fortran语言的冗长代码，给用户带来的是最直观、最简介的程序开发环境。(Matlab is called fourth-generation computer language function, programmers can be freed from the tedious code. Matlab with a more intuitive, the code in line with people' s habits of mind, instead of a lengthy code in C and Fortran languages, giving users the most intuitive and Introduction program development environment.)

BATTLE OF HELICOPTERS

Mathematica教程，介绍如何启动Mathematica软件，如何输入并运行命令(Mathematica5 study)

谱聚类算法的matlab实现谱聚类算法的matlab实现(spectral clustering algorithm matlab)

说明：  可计算序列的信息熵、两个序列间的联合信息熵和互信息(This file can calculate the entropy, joint entropy and mutual information)

图像分割算法之间的比较，比较前沿的放发，利用了kmeans和模糊K均值(Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans)

　计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。(Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.)