基于定时器的实时曲线的绘制，动态产生三角波

The ElastoDynamics Toolbox is a MATLAB toolbox to model wave propagation in layered media. It is based on the direct stiffness method and the thin layer method [10, 12]. The toolbox can be used to solve a variety of problems governed by wave propagation in the soil: Site amplification Site amplification is an important issue in the assessment of the seismic hazard at sites where the top soil layers are particularly soft. In such cases, the seismic motion at the surface can be much higher than the outcrop motion due to resonance of the soft layers-This chapter describes how to start using the ElastoDynamics Toolbox (EDT) for MATLAB. The chapter is organized as follows: About the ElastoDynamics Toolbox (p. 1) The ElastoDynamics Toolbox for MATLAB is briefly introduced. Obtaining and installing EDT (p. 1) This section explains where to get EDT and how to install it. Terms of use (p. 3) The terms and conditions to use of EDT are summarized. It is shown how to re

用于图像处理的一些代码-for some image processing code

程序给出了边缘检测及轮廓跟踪的一般方法,其是基于matlab来编写.-Edge detection contour tracking, image processing in a very important edge detection contour tracking algorithm

中点画圆算法就是每部单位间隔取样并且计算离圆最近的位置。   在继续之前，我这里补充一个关于圆对称性的知识点，通过在圆中计算考虑使用对称性计算开销可以减小到原来的1/8。 对称性质原理： 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

用 c实现jpeg 的压缩和解压 可以用于各种操作系统，里面有详细的说明文档-c implementation of JPEG compression and decompression algorithm that supports all operating systems. detailed technical documents are included.

图像识别的matlab程序，其中包含EP，EM-EP算法等。很有参考价值。-Matlab image recognition process, which includes EP, EM-EP algorithm. Useful reference value.

图象处理的源代码-image processing source code

分别提出了基于区域特性的多光谱与全色图像的融合算法及SAR与全色图像的融合算法

FaceDetection是一个静态人脸检测程序，注意FaceDetection需要OpenCV提供的库支持，因此请首先到相关网站上下载并安装OpenCV，此外本程序需要导入一个分类器文件haarcascade_frontalface_alt.xml，该文件在OpenCV中提供，请读者将该文件复制到程序同一目录下，程序即可正确运行。-FaceDetection is a static face detection process, the attention required FaceDetection library OpenCV provides support to the relevant website, please first download and install on OpenCV, addition of the procedures necessary to import a document classifier haarcascade_frontalface_alt.xml, the document provided in OpenCV Please copy the document reader to process the same directory, the program can be run right.

使用说明                                   代码注释的很详尽第一步：训练网络。使用训练样本进行训练。（此程序中也可以不训练，因为笔者已经将训练好的网络参数保存起来了，读者使用时可以直接识别）第二步：识别。首先，打开图像（256色）；再次，进行归一化处理，点击“一次性处理”；最后，点击“R”或者使用菜单找到相应项来进行识别。识别的结果显示在屏幕上，同时也输出到文件result.txt中。该系统的识别率一般情况下为90%。此外，也可以单独对打开的图片一步一步进行图像预处理工作，但要注意，每一步工作只能执行一遍，而且要按顺序执行。具体步骤为：“256色位图转为灰度图”－“灰度图二值化”－“去噪”－“倾斜校正”－“分割”－“标准化尺寸”－“紧缩重排”。注意，待识别的图片要与win.dat和whi.dat位于同一目录，这两文件保存训练后网络的权值参数。