scene

说明：  对复合奇异的蒙特卡洛模拟程序，亚洲期权、障碍期权的集合体 (Monte Carlo simulation of composite extoic option)

MRF图像分割，通过Markov随机场（MRF）实现图像的分割(MRF image segmentation, image segmentation by Markov random fields (MRF))

地球公转自转Revolution of the earth rotation(Revolution of the earth rotation)

说明：  功能强大，人性化强的QAM调制仿真，主程序是64QAM(Powerful, user-friendly simulation of strong QAM modulation, the main program is 64QAM)

杜达的《模式分类》第二版的配套的Matlab源代码,相信对大家一定会有帮助(Selecting the "classification" of the second version of the Matlab supporting source code, I believe it will benefit everyone)

光源光谱图像融合及其研究。。图像融合。预处理。像素级融合，特征级融合(research on multi-source image fusion method and its appliacation)

双馈风机（DFIG）在matlab/simulink中的dq模型(the dq-model of DFIG in matlab/simulink)

rolling cart with air drag balancing pole simulink block diagram

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))

基于matlab完成的神经网络源程序，包含神经网络的初始化，学习阶段和训练阶段(Based on the completion of the neural network matlab source code, including initialization of neural networks, learning phase and training phase)