Ethernet_rev0.1

说明：  聚类分析的matlab源代码，文件中5种方法方法，每种方法都有测试数据(Cluster analysis matlab source code, documentation methods, 5 methods, each method has the test data)

用matlab编写的用于解决tsp问题的源代码，代码本身不完善，有一点问题，上载用的是普通word文档形式。(using Matlab prepared for the settlement tsp the source code, the code itself imperfect, it is, on the use of ordinary word document form.)

该系统实现了视频通信系统由通信模块库及使用从视频处理模块块基于MPEG - 1和DVB演示演示基于Simulink模块，它不从源编码，频道编码（RS编，卷积编码器）调制（QAM调制， OFDM）技术，信道及当时的整个过程相反，在接收端 然而，甚少是一个问题，那里的视频源编码器输出去到信道编码，当运行系统，则会出现错误，说的RS -编码器输入不正确，这种输入问题，我想，未来的视频输出 我不会令你对这个问题APRRECIATE＆应该是什么的RS编码器输入的大小帮助？ 原因这是我的硕士论文设计之与我必须完成它正确 任何帮助，您奉献，都可以得益，因此，我感谢您关注..(Received OFDM signal transmitter, using the language toolbox matlab simulink technology)

homework 3-5 is difficult

Lucas-Kanade光流法，计算两幅图像之间的光流，很有用的一段程序(Lucas-Kanade optical flow method to calculate the optical flow between two images, very useful for some procedures)

In wireless sensor network, residual energy of node is very important criteria. Life of wireless sensor network depend the energy of node. In most of the application, the nodes are battery operated. So it is very important to select the parameters like nodes deployment in network, size of packet, etc. In work,analyze node’s energy with respect to packet size, distance, time and also how much data can be transmitted. And finally we will conclude for the effective value of these parameters.

压缩感知，华东师范大学陆吾生教授讲义的程序(Compressed sensing, East China Normal University Professor Lu Wusheng handout program)

用matlab解决实际生活中的线性规划问题 属于实例教程 模拟一次函数 二次函数等求出最优解(The optimal solution using matlab to solve real-life examples of linear programming problems belong to simulate a tutorial function, such as a quadratic function)

说明：  求解MATLAB中关于特征值特征向量、卫星运行问题、动态玫瑰线、二重积分、函数画图问题的分析程序。(Analytical program for solving eigenvalue eigenvector, satellite operation problem, dynamic rose line, double integral and function drawing problem in MATLAB.)

matlab功率谱，带显著性检验,程序给予时间序列的自相关过程做简介估算(matlab power spectrum, with a significant test, the program to give time series of self-related processes do estimates About)