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编程建立一通讯簿，存放有姓名、电话号码、住址，然后对通信簿进行查找、添加、修改及删除。(comunication)

说明：  基于matlab的SVM（支持向量机）算法。作为非常流行的svm工具，可以实现基于SVM的数据分析，能够应用于人工智能及模式识别领域。(Matlab based on the expectation-maximization algorithm for Gaussian mixture model (GMM) toolkit. GMM-based data can be analyzed, can be used in the field of artificial intelligence and pattern recognition.)

NaSch模型MATLAB程序,交通流，单车道元胞自动机模型的程序实现(Program MATLAB NaSch model , traffic flow, lane cellular automaton model )

说明：  各种波束形成方法的集合，非常好用，当然，非原创。(A collection of various beamforming methods, very easy to use and, of course, non-original.)

matlab机器人避障仿真！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！！(Simulation of the robot obstacle avoidance)

this code about optimization

说明：  最大流问题，一种组合最优化问题，就是要讨论如何充分利用装置的能力，使得运输的流量最大，以取得最好的效果。求最大流的标号算法最早由福特和福克逊于1956年提出，20世纪50年代福特、福克逊建立的“网络流理论”，是网络应用的重要组成成分。(Maximum flow problem, a combinatorial optimization problem, is to discuss how to make full use of the capacity of the device to maximize the flow of transport in order to achieve the best results. The labeling algorithm for maximum flow was first proposed by Ford and Fulkerson in 1956. The network flow theory established by Ford and Fulkerson in 1950s is an important component of network application.)

用matlab编写的最近邻域的数据关联，采用kalman滤波实现(Associated with the most recent data prepared matlab neighborhood, using kalman Filtering)

非期望产出的SBM模型，计算带有非期望产出的效率模型(undesirable-sbm model)

This code demomstrates an improved algorithm based on the local binary fitting (LBF) model in Chunming Li et al s paper: "Minimization of Region-Scalable Fitting Energy for Image Segmentation", IEEE Trans. Image Processing, vol. 17 (10), pp.1940-1949, 2008. Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows. Run the Demos in the M-files for several test images. Once an image comes out, click the mouse to generate a polygon as the initial contour: left click to get a number of points, then right click to get the end point. The number of iterations may need to be increased if the initial contour is too far away from the desired object boundary.