normalize

说明：  一个旅行商优化免疫算法的MATLAB源代码.(A matlab platform for artificial immune algorithm .)

这是门信号的fourier变换，matlab语言编写，有注释，很明了(This is the Fourier transform, gate signal matlab language, have comments, is clear )

主要是matla中的snake算法的一些模板套路，像是snakedeform、snakedisp、gaussianMask等(The snake is mainly matla some templates algorithm routines, such snakedeform, snakedisp, gaussianMask etc.)

经典OFDM系统的脉冲整型，包含windows和MacOSX两个版本的矩形函数整型、半余弦整型、高斯函数整型、各向同性正交变换算法（IOTA）整型的matlab源代码。(Pulse Shaping classic OFDM system, including two versions of windows and MacOSX rectangular function integer integer half cosine, Gaussian integers, isotropic orthogonal transform algorithm (IOTA) integer matlab source code.)

IEC协会推荐的电压波动和闪变的测量计算方法，并含相关的IEC标准和国标（这些标准很难找到免费的）(IEC Association recommended voltage fluctuation and flicker measurement and calculation methods, and with the relevant IEC standard and GB (hard to find these standards for free))

用matlab实现卷积，并且分析步长不同对结果的影响。(Convolution using matlab implementation, and analysis of the different steps of the results.)

基于一类简单递推方程的周期分叉点记忆混沌形成的周期分叉点(Bifurcation memory based on a class of periodic recurrence equation simple cycle bifurcation CHAOS)

循环迭代次数对 Turbo 码性能的影响(The impact of loop iterations of Turbo code performance)

说明：  matlab编程语言学习资料，课件可以帮助你很快学到matlab编程技巧，及平时注意事项(matlab programming language learning materials, courseware can help you quickly learn matlab programming skills, and the usual precautions)

　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.)