MATLAB_SIMULINK

利用MATLAB对扩频信号进行检测和参数估计，结果表明本方法具有在低信躁比下检测的优势(The use of MATLAB for spread spectrum signal detection and parameter estimation results show that this method is in the low than under the letter impatient edge detection)

利用PSO算法优化求解PID参数,已发表文章,效果很好(Use of PSO algorithm for solving PID parameters, has published an article very good)

　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.)

该程序用MATLAB实现了目标的跟踪，它是静态背景为核心的。(Realize the target tracking)

语音方面的工具箱，里面包含了很多语音的基础函数如分帧函数等等(Voice in the toolbox, which contains a lot of voice-based functions such as sub-frame function, etc., etc.)

响应面法计算相关系数情况下结构的可靠度.已知极限状态方程，变量服从对数正态分布，变量均值和标准差已知，且知道变量的相关系数。(Response surface methodology to calculate the correlation coefficient of reliability under the circumstances structures known to limit state equation, variables lognormal distribution, the mean and the standard deviation is known variables, and that the correlation coefficient variables.)

标准粒子群优化算法（matlab）.(standard PSO algorithm (Matlab).)

MATLAB不错的书籍，也是初学者入门必备书籍(MATLAB good books, beginner essential books)

Dynamic Modelling and Adaptive Traction Control for Mobile Robots

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