PSO

基于Radon变换提出了一种新的图像识别方法，首先构造了二维图像在Radon变换空间的平移和比例 不变量，然后根据变换空间数据的特性，利用奇异值分解得到了旋转不变量并将其用于三类飞机的识别，仿真结果表明该方法具有很好的性能和较高的实用价值。(I nt hisp aper,a n ewi mager ecognitionm ethodb asedo nR adont ransform isp roposed,2一Di magem omentin variant basedo nR adontr ansformi sc onstructed.A ccordingto t hed atain t hetr ansforms pace,Si ngularV alueD ecomposition(SV D)i s proposedh ereto o btainr otationi nvariant.Si mulationr esultsa reg ivent oo btaini nsightin tot hee fficiencieso fferedb yo urm ethod)

说明：  自己编的线性天线m-file 相信还是有用的(linear antenna)

第四版prokias数字通信配套代码之第六章(source code(matlab )for prokias Digital Communication (4th edition))

基于MATLAB的小波分析，通用小波函数(MATLAB-based wavelet analysis, general wavelet function)

通讯类matlab文件，包括简单的QAM调制，星座图的产生等的一些基本程序(Communications matlab files, including simple QAM modulation, such as the generation of FIG want some basic procedures)

结构动力分析用matlab计算平面桁架的特征值(Structural dynamic analysis using matlab calculating eigenvalues ​ ​ of plane truss)

current in buck cover.

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

这是我们计算机控制的一个上机题,希望大家的学习有所帮助(This is a computer-controlled machine on that, I wish you all a learning help)

说明：  经典浓度聚类算法DBSCAN的MATLAB实现，简单易懂，可以运行(Classical clustering algorithm DBSCAN concentration of MATLAB implementation, easy to understand, you can run)