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使用模糊控制来实现单级倒立摆的控制仿真。使用了sugeno 模型来完成(The use of fuzzy control to achieve a single-stage inverted pendulum control simulation. Sugeno model used to complete the)

通过利用matlab中自带的丰富的函数资源，对图像进行直方图均衡法的图像增强处理，对一些因为直方图分布范围宽，但不均匀的图像处理效果优于线性变换法，如所附图像(Histogram equalization)

matlab实现的深度学习代码，autocode(a code for deeplearing,autocode)

对预处理及分割之后的图像进行识别 利用BP神经网络进行训练 学习(On after pretreatment and segmentation of image recognition using BP neural network for training study)

用MATLAB产生正态分布和均匀分布,采用三种方法，并且进行纵横向对比(Generated using MATLAB normal and uniform distribution, using three methods, and conducted to compare vertical and horizontal)

arduimu_vD (1).rar arduimu

非局部滤波算法的MATLAB代码，适用于图形图像处理(Nonlocal filtering algorithm of MATLAB code, suitable for image processing)

这是关于vmd变分模态分解的matlab代码，主要应用于信号的分解，数据的处理等。(This is the matlab code for VMD variational mode decomposition, which is mainly applied to signal decomposition, data processing and so on.)

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(Procedure Code Description P0401: detection using Prewitt operator Edge P0402: σ values with different operator LoG edge detection image P0403: detection using Canny operator Edge P0404: Image Thresholding P0405: thresholds for water line image segmentation method P0406: for the matrix decomposition quadtree P0407: text and images are divided into two categories of non-text P0408: detection of morphological gradient of the edge binary image P0409: morphological examples- from the PCB to remove all images current lines, retaining only the target chip)

Chebfun找到一个类似的问题已经解决了别人使用作为一个模板。这一页将你们连接到几十个这样的模板,称为Chebfun例子。每一个例子是一个M-file生产文本和/或图形输出,执行,在大多数情况下,在少于5秒。你也可以执行的例子,用Matlab命令的出版得到一个包含更多的信息的故事。一类开路(出版(“文件名”))去看在你的屏幕上最快的版本或出版(“文件名”)为一个更好的格式化乳胶版本,它将出现在一个目录叫做html。公布的产量也可直接下载作为一个pdf档案。(The quickest way to solve your problem with Chebfun may be to find a similar problem someone else has solved to use as a template. This page connects you to dozens of such templates, called Chebfun Examples. Each example is an M-file producing text and/or graphical output which executes, in most cases, in less than 5 seconds. You can also execute the example with Matlab s PUBLISH command to get a more informative story. Type open(publish( filename )) to see the quickest version on your screen or publish( filename , latex ) for a better formatted LaTeX version, which will appear in a directory called html. The published output is also available for direct download as a pdf file.)