exp2

　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.)

基于matlab的关于遗传算法的一些重要的函数的m文件，供读者参考 (Based on some of the important matlab m file on genetic algorithm function for readers reference)

类似与wndtars的国产软件，功能独特(similar wndtars with the homemade software, a unique function)

power system stabilizer model in matlab

通过傅里叶变换的方法，对两个单频信号的相位差进行计算，信号相关性计算(Fourier transform method, the phase difference between two single-frequency signal is calculated)

采用RGB模型进行阴影的检测与去除。能够显示前景、背景、去除阴影后的运动目标(RGB model with shadow detection and removal. To show foreground, background, after the removal of shadows moving target)

MATLAB code for converting intensity image to indexed image.

并口类别控制类库源码,可以方便的实现对并口的控制操作(type library source, to facilitate the realization of the parallel port control operation)

此代码是输入图像得到原图像的灰度直方图，得到聚类后的直方图和聚类后的图像直方图。(This code is the input image to get gray histogram of original image, get the clustering histogram and cluster after the image histogram. )

总结了五中时频分析方法（STFT,Gabor,WVD,PWVD,SPWVD）,并对个别方法进行了对比。每条程序都有详细的说明(Fifth summarized time-frequency analysis method (STFT, Gabor, WVD, PWVD, SPWVD), and the individual methods were compared. Each program has a detailed description)