APPLICATIONOFMATLAB7.0ONSIGNALPROCESSING

基于matalab的信道自适应均衡技术研究(Matalab based channel adaptive equalization technology research)

设计Matlab程序实现最大最小距离聚类法，要求：输入模式向量和类别数，能够输出聚类的结果(Design Matlab achieve maximum minimum distance clustering method, requirements: input mode vector and the number of categories, can output the result of clustering )

说明：  求解送取货且带时间窗的绿色车辆路径与调度优化问题(Solving the green vehicle routing and scheduling optimization problem with time window)

负向选择算法的一个例子,它的基本思想就是通过采集正常数据集合生成检测器集，然后将待测数据与抗体集合中全部元素进行匹配计算，如与任一元素的匹配达到一定阈值，即判断该数据异常。(An example of negative selection algorithm. The basic idea is to collect the normal data set generated by the detector set, and then tested the data collection with the antibody to match all the elements of calculation, if any element of the match reaches a certain threshold, that determine the data exception.)

采用DC加权的恒定束宽的宽带波束形成器，其中迭代用的是Newton迭代法(DC weighted using constant beamwidth broadband beamformer, which iteration is the Newton iterative method)

PSCAD，DC-AC-DC直流变压器，中间为100Hz高频变压器，一边实现Vf控制，另一边实现UdcQ控制。先在PSCAD中加载dqo_new_lib.psl后再加载DC_AC_DC_100Hz.psc。(PSCAD, DC-AC-DC DC transformer, the middle of 100Hz high-frequency transformer, while the realization of Vf control, the other side to achieve UdcQ control. First load dqo_new_lib.psl in PSCAD and then load DC_AC_DC_100Hz.psc.)

Mathlab实验报告 包含实例图片，报告(Mathlab test report contains examples pictures, report)

说明：  该资料包含了一个图像融合工具箱，里面的内容是用matlab实现图像处理。(The information includes an image fusion toolbox, which content is to use matlab for image processing.)

说明：  《先进PID控制 MATLAB仿真(第二版）》一书的源程序("advanced PID control MATLAB (2nd edition)," a book of the source)

TSP问题是经典的寻优问题 也是人工智能里一个重要的问题 我编写的程序主要是用蚁群算法来解决这个问题。蚁群算法是人工智能里用来寻优的重要算法 由于蚁群算法的优点使得TSP问题能够实现。 (The TSP problem is a classical optimization problem is also an important problem in artificial intelligence programs written in my main is to use ant colony algorithm to solve the problem. Ant colony algorithm is used in artificial intelligence (ai) optimization algorithm is important due to the advantages of ant colony algorithm can achieve the TSP problem.)