HHT-matlab-example

阐述了粒子群算法的基本原理,探讨了在MATLAB环境中实现粒子群算法的编程方法,构建粒子群算法工具箱函数,通过仿真示例验证了该方法的有效性,表明它能够对函数进行全局优化。(Expounded the basic principles of particle swarm optimization to explore particle swarm algorithm in MATLAB programming method to construct the particle swarm optimization toolbox function, an illustrative example to verify the effectiveness of the method, indicating that it can function for global optimization .)

Owen2008年出版的Computational methods for plasticity: theory and applications一书中的源程序(Owen2008 published Computational methods for plasticity: theory and applications a source book)

包括进行标准Hough变换，检测Hough变换中的n个峰值，并提取峰值直线像素点，绘制直线等(Including the standard Hough transform, Hough transform detection of the n-peak and peak extraction of straight-line pixels and draw a straight line, etc.)

HDMI 1.3A SPECIFICATION

基于matlab的混沌系统的研究，介绍的多种方法，应用simulink建模，对混沌现象进行仿真验证。(Matlab-based study of chaotic systems, introduction of a number of ways, the application of simulink modeling, to simulation of chaotic phenomena.)

采用国际标准测试图lena进行测试。分别采用“基于等间隔采样的图像缩小”、“基于局部均值的图像缩小”两种方法进行图像缩小。并附有注释、程序清晰、易于阅读。相信图像初学者阅读后必定会有很大的收益。(jiyudengjiangecaiyangdetuxiangsuoxiao, jiyujubujunzhidetuxiangsuoxiao,)

this is book Basics of MATLAB and Beyond The book is in two parts. Each part was originally a two-day course, designed assuming that students were seated at a computer with matlab running.+(programme m.file matlab)

首先对图像进行了边缘检测，设计相应的结构元素对图像进行腐蚀，再进行图像聚类和填充图像。(First, the image edge detection, the design of structural elements corresponding to the image etched image clustering and then fill the image.)

图像处理的论文，介绍数字图像处理的文献，已经一些matlab的知识(Image processing of paper, describes digital image processing literature, has some of the knowledge of matlab)

说明：  cootes提出的ASM算法的matlab实现。在cootes用于课堂使用的源代码的基础上改写。改正了原来代码中的一些错误，加入了方便使用的样本训练标注保存环节。供图像分析处理，模式识别，人工智能研究者使用。(the ASM Algorithm Implementation of Matlab. Cootes used in the classroom use of the source code on the basis rewritten. To correct the original source of some mistakes, joined the ease of use of training samples preserved tagging links. For image processing, pattern recognition, artificial intelligence researchers.)