PSO-Matlab

说明：  第四章 MATLAB 图形对象操作 4.1 图形对象的属性 4.2 图形对象句柄的获取 4.2.1 对象创建时获取 4.2.2 层次关系来获取 4.2.3 当前对象的获取 4.2.4 根据对象属性值的获取 4.3 图形对象句柄的删除与判断 4.3.1 句柄的删除 4.3.2 句柄的判断 4.4 图形对象属性值的获取与设置 4.4.1 图形对象属性值的设置 4.4.2 图形对象属性值的获取 4.4.3 用户缺省值的操作 4.5 图形对象的其它操作 4.5.1 figflag 函数 4.5.2 findfigs 函数 4.5.3 copyobj 函数 4.5.4 capture 函数 4.5.5 refresh 函数 4.5.6 saveas 函数 4.5.7 hgload 函数和 hgsave 函数 4.5.8 newplot 函数 (Chapter IV of MATLAB graphic objects to operate the properties of graphic object 4.1 graphic object handle 4.2 Access 4.2.1 object created when the relationship between the level of access to 4.2.2 to get 4.2.3 to obtain the current object under the object attribute value 4.2.4 Access 4.3 graphic object handle to remove the judge handles the deletion of 4.3.1 judgments 4.3.2 Handle 4.4 graphic object attribute values to obtain and set the target attribute value 4.4.1 graphics settings 4.4.2 graphic object attribute values to obtain 4.4 .3 user operation 4.5 Default graphic object 4.5.1 figflag other operations function 4.5.2 findfigs function 4.5.3 copyobj function 4.5.4 capture function 4.5.5 refresh function 4.5.6 saveas function 4.5.7 hgload function and 4.5.8 newplot function hgsave function)

remove noise from multiple noisy images

使用matlab实现辐射强度的叠加图像及均值(it is about 3d image used matlab)

基于最大互信息的运动目标检测[matlab源码](Moving target detection based on maximum mutual information, matlab)

定义了通信中帧格式，用matlab代码实现了这个过程，可以自定义巴克码的长度，接收端可以采用滑动相关法捕获该帧(The definition of a communication frame format, using matlab code to achieve this process, can customize the length of Barker Code, the receiving end of sliding correlation method can be used to capture the frame)

Bifurcation Diagram of Circular map

测量导线网matlab数据导入程序，具有良好的数据实现功能(Traverse network matlab data into the program, with good data to achieve functional)

Some Example Files Related to Dynamic Neural Network

三维体数据成像vol3d(源于matlab central)(function [model] = vol3d(varargin) )

说明：  编写一个程序，对输入的图像进行哈夫曼编码，显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像。 Sobel算子和拉普拉斯算子进行锐化，并比较结果。(Write a program to image the input Huffman coding, the entropy of the original image displayed, encoded, the average code length, and be able to reconstruct the image according to encoding. Sobel operator and Laplacian sharpening, and compare the results.)