vehicle

社交能力测试,通过这你可以得知你的社交能力如何(Social skills test, through which you can learn how your social skills)

SVM源程序小样本分析 模式识别 用于SVM的初学者。 (SVM source of small samples for analysis SVM pattern recognition for beginners.)

Viola-Jones in Matlab 2010b for face detection

2015年数学建模B题第一题答案，本程序已经在大赛之后提交，可以使用(2015 Mathematical Modeling B and that the answers to the first question, this program has been submitted after the contest, you can use)

说明：  单一变量遗传算法程序，不包含子程序 (Single variable genetic algorithm program does not contain the subroutine)

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)

说明：  基于Matlab/Simulink的机构运动仿真分析(Kinematics Simulation of Label Delivering Mechanism Based on Matlab/Simulink)

自动控制技术及其应用在现代科学技术的许多领域中，自动控制技术起着越来越重要的作用(Automatic control technology and its application in many areas of modern science and technology, automatic control technology plays an increasingly important role)

this algorithm simulates natural behavior of weeds in colonizing and finding suitable place for reproduction.IWO differs from other evolutionary algorithms in the way of reproduction,spatial dispersal and competitive exclusion

可变形部件模型Deformable Part Models是目前最好的目标检测算法(Deformable component model Deformable Part Models is the best target detection algorithm)