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matlab6.5图形图像处理源程序，很经典的一本关于图像处理算法和代码的书。(Graphics Image Processing matlab6.5 source, it is a classic on the image processing algorithms and code book.)

标准粒子群算法程序，函数优化，参数优化，可用于PIDNN.(Standard PSO procedure, function optimization, parameter optimization, can be used to PIDNN.)

power_sfavg.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_sfavg.rar, ,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

iterative hard thresholding algorithm in Compressed Sensing

数字滤波仿真程序，供大家参考！希望对大家学习有用！(digital filter simulation program, for your reference! We hope to learn useful!)

a.阅读的图像img_1.tif，img_2.png的文件夹中，并 他们展示于一体，这两个数字分别。 （参考函数：imread, imshow, figure, subplot） b.在matlab，观察从工作区中的图像信息面板 c.分别使用size, imfinfo,whos等功能获得的图像信息 d.添加标题的图像。 （参考函数：title） Ë 。下面的代码实现的M文件编辑器 f=imread(‘img_1.tif’) imshow(f) set(figure(1), NumberTitle , off , Name , my first image’) 观察结果，并确定的功set() f。保存img_1.tif目录“D： imagetest”。如果该文件夹不 存在，请首先创建这个新的文件夹。 （参考函数：imwrite） (a. Read the images img_1.tif, img_2.png given in the folder, and show them in one and two figures respectively. (referenced function: imread, imshow, figure, subplot) b. In matlab, observe the images information from the workspace Panel c. Use size, imfinfo,whos,etc functions to obtain image information respectively. d. Add title to the images. (referenced function: title) e. Implement the following codes in the M-file Editor f=imread(‘img_1.tif’) imshow(f) set(figure(1), NumberTitle , off , Name , my first image’) observe the result, and determine the function of set() f. Save img_1.tif to the directory “d:imagetest”. If the folder does not exist, please create this new folder first. (referenced function: imwrite))

MEAN AND VARIANCE NORMALIZATION

will automatically delete the directory of debug and release, so please do not put files on these two directory

复杂网络中的sw小世界模型和无标度BA模型的生成程序(sw model and BA scale free model )

基于瞬时无功功率ip-iq法的有源电力滤波器的matlab仿真(matlab simulation of Active power filter)