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机器人的PID控制仿真程序，先进matlab仿真第10章(PID control of robot simulation program, advanced matlab simulation Chapter 10)

利用matlab 编写自由粗糙度表面，一维自由粗糙表面的生成方法(matlab rondom roughness surface )

通信工程的实验 用matlab仿真 呈现图像(Communication Engineering Experimental matlab simulation render the image)

Using the pcolor knowlegde and colormap concatenation technique to create axes objects with different colormaps

实现了对10个数字音的识别程序通过虚拟阵元进行DOA估计，BP神经网络用于函数拟合与模式识别。( Realization of 10 digital audio recognition program Conducted through virtual array DOA estimation, BP neural network function fitting and pattern recognition.)

ittc标准海浪谱的matlab实现，对工程人员作干扰仿真特别有用。(wave spectrum of ittc s standard matlab realization.it is particularly useful for the project staff.)

gvf snake 邊緣檢測範例(包含範例圖)(1. Introduction and Installation Instructions ---------------------------------------------- Welcome to the Gradient Vector Flow (GVF) Active Contour Toolbox. The Matlab*.m files in this software distribution implement our GVF snake, the original (Kass, Witkin, and Terzopoulos) snake, the balloon snake, and the distance snake. These programs were designed, written and tested by Chenyang Xu and Jerry Prince. To install this software, simply unzip the file into an empty directory, making sure to ask your unzipper program to restore the directory structure of the zipped files. In this documentation, we will assume that you have unzipped the files into C:GVF. 2. Documentation ---------------- We have included two research papers that describe GVF. You can find these in C:GVFpapers. Brief descriptions of the software modules can be found in this file below. For more detail, you should run Matlab, add the path C:GVFsnake, and type "help function-name". F)

this file is sift code.

代码基于Matlab软件，讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时（空）间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程，读者可以加深对有关数学方法的认识和理解，并且掌握很多Matlab的应用技巧。代码规范，可研究价值高。 　(Code based on the Matlab software, tells the story of a large number of mathematics method of thinking and process applications.Content in regression analysis, principal component analysis, factor analysis, cluster analysis, discriminant analysis, the (empty) sequence analysis, Markov chains, R/S analysis, linear programming, analytic hierarchy process (ahp) method and artificial neural network modeling, etc.By imitating the calculation process of this book teaches, readers can deepen the understanding and the understanding to the related mathematical methods, and master a lot of Matlab application skills.Code standards, it is with high research value.)

mimo系统中常见的三种算法中的性能比较(Performance comparison of three common algorithms in MIMO system)