分割k-均值

simulated OFDMA signal using Matlab

这是用C语言编写的灰度直方图，在matlab软件下可以运行。不是用imhist直接调用。(It is written in C language histogram in matlab software can run. Not called directly by imhist.)

菲涅尔数字全息的程序，很实用的程序，可以实现全息图的模拟与再现(Fresnel holography)

gambler example with reinforcement learning

即奇异谱分析，广泛应用于信号识别与预测。(SSA, that singular spectrum analysis, widely used in signal recognition and prediction.)

matlab使用垂直Sobel算子，自动选择阈值 [VSFAT Threshold]=edge(f, sobel , vertical ) 边缘探测 figure,imshow(f),title( 原始图像 ), 显示原始图像 figure,imshow(VSFAT),title( 垂直图像边缘检测 ) 显示边缘探测图像 使用水平和垂直Sobel算子，自动选择阈值 SFST=edge(f, sobel ,2) figure,imshow(SFST),title( 水平和垂直图像边缘检测 ) 显示边缘探测图像 使用指定45度角 Sobel算子滤波器，指定阈值 s45=[-2 -1 0 -1 0 1 0 1 2] SFST45=imfilter(f,s45, replicate ) SFST45=SFST45>=2 figure,imshow(SFST45),title( 45度角图像边缘检测 ) 显示边缘探测图像 (matlab I=rgb2gray(I0) J0=double(I) [VSFAT Threshold]=edge(f, sobel , vertical ) figure,imshow(f),title figure,imshow(VSFAT),title)

说明：  该课题为基于MATLAB的汽车出入库识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统的中规中矩的车牌识别不易得到高分，必须要在此基础上有所创新方得可以避开其他雷同课题，不会轻易被导师被否决而导致毕设不过。因此建议在车牌识别基础上加入多种方法的对比，看看哪种方法的精度高。虽然目前有很多方法的车牌识别，但是都是在各自的测试库里面测试的，比如测试的车牌图像不同，字符库不同，导致无法做对比。整个设计在一个GUI界面上完成。(This project is based on MATLAB vehicle in and out of the warehouse identification system, with rich human-computer interaction GUI interface. At present, in the topic selection of graduation project, the traditional regular license plate recognition is not easy to get high scores, so it is necessary to innovate on this basis to avoid other similar topics, and it will not be rejected easily by the tutor, leading to the failure of graduation project. Therefore, it is suggested to add a variety of methods on the basis of license plate recognition to see which method has high accuracy. Although there are many methods of license plate recognition, they are tested in their own test library, for example, the test license plate image is different, the character library is different, so it can not be compared. The whole design is completed on a GUI interface.)

脚本程序，基础用力中能实用的，有具体含义(Script on the basis of force can be useful in)

说明：  用MATLAB编写的人工鱼群算法的源代码。供大家学习(Prepared with artificial fish school algorithm MATLAB source code. For them to learn)

二维相位解包裹算法。主要基于结构光采集以及其他需要对于包裹相位进行解相的算法。包括最小枝切法以及相位图法。(2D unwrap algorithm mainly based on the structure light)