Antenna-and-EM-Modeling-with-MATLAB---Sergey-N

运用matlab进行模糊聚类分析步骤如下：建立数据矩阵；数据标准化；建立模糊相似矩阵；改造相似关系为等价关系；确定分类数(The steps of using MATLAB to carry out fuzzy clustering analysis are as follows: establishing data matrix; standardizing data; establishing fuzzy similarity matrix; transforming similarity relation into equivalent relation; determining classification number.)

Matlab基础学习资料，从功能介绍到程序设计，为初学者提供很好的引导作用(Matlab-based learning materials, from functional description to the program design, to provide a good guide for beginners)

基于多观测矢量的正交匹配追踪算法 正确估计信号的DOA(MMV bases on omp used to DOA)

提供一种求解最优哈密尔顿的算法---三边交换调整法，要求在运行jiaohuan3（三交换法）之前，给定邻接矩阵C和节点个数N，结果路径存放于R中。 bianquan.m文件给出了一个参数实例，可在命令窗口中输入bianquan,得到邻接矩阵C和节点个数N以及一个任意给出的路径R,，回车后再输入jiaohuan3,得到了最优解。 由于没有经过大量的实验，又是近似算法，对于网络比较复杂的情况，可以尝试多运行几次jiaohuan3,看是否能到进一步的优化结果。 (Provide an optimal algorithm Hamilton- trilateral exchange Adjustment Act, requiring running jiaohuan3 (c exchange) before a given adjacency matrix C and the node number N, the results of the path stored in the R in. bianquan.m document gives examples of a parameter can be in the command window, type bianquan, be the adjacency matrix C and the node number N and an arbitrary given path R,, carriage return after the input jiaohuan3, have been the optimal solution . After the absence of a large number of experiments, it is approximate algorithm, for more complex network situations, you can try to run several jiaohuan3, can look to further optimize the results.)

Cholesky分解的演示，程序内含说明，本人原创(Cholesky decomposition of the demonstration, the program includes instructions, my original)

（1）在MATLAB环境下编写FFT算法（不调用系统现有函数）； （2）实现对选定图片进行FFT计算、还原（IFFT计算），并与系统FFT函数做对比，进行分析； （3）设计GUI界面。((1) the preparation of the FFT algorithm (do not call the system existing function) in MATLAB environment (2) to achieve the selected image to the FFT calculation, reduction (IFFT computing), and FFT functions to do comparison with the system for analysis (3) Design GUI interface.)

人工免疫matlab算法-对电路的故障检测程序(Artificial immune algorithm matlab- for circuit fault detection procedures)

This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them. (This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.)

matlab块操作，通过此程序，可以对图像进行边沿操作，交叠快操作(Matlab block operations, through this program, the image edge, overlapping fast operation)

differential evoluation optimization