zf_mmse_junheng

此方法是层析分析法的一个较好的程序，可以用于数学建模竞赛等领域。是不错的收藏啊啊啊啊(This method is a better program, chromatography analysis can be used in areas such as Mathematical Contest in Modeling. Good collection ah ah ah ah)

说明：  压缩感知Basis Pursuit基追踪算法，稀疏度和正确率的关系以及采样率和正确率的关系(Basis Pursuit based on compressed sensing and tracking relationships between sampling rate and accuracy of the algorithm, and the correct rate of sparsity)

遗传算法工具包，matlab 7.0包含了这个工具箱，matlab7.0以前的版本没有这个工具箱，雷英杰编著《Matlab遗传算法工具箱及应用》对这个工具箱的使用进行了介绍(Genetic Algorithm Toolkit, matlab 7.0 contains the toolbox, matlab7.0 previous versions do not have this toolbox, LEI Ying-jie edited )

一种分类的新方法，与判别分析相似，但是能够直接寻找到多维方向，并且对数据同时分类(The Extended Canonical Variates Analysis (ECVA) is a new approach to classification. The aim is similar to discriminant analysis but it provides a direct solution to finding multivariate directions that separates groups and simultaneously classifying these.)

matlab 研究生课件和对应的仿真文件~~~~~(matlab graduate courseware and simulation files ~ ~ ~ ~ ~)

matlab编程指南电子版，很值钱的呦，关于matlab写程序的方法(matlab electronic programming guide, it is valuable Yo)

说明：  小波变换在图像处理中的应用，图像处理，算法重构，图像压缩等(Wavelet Transform in Image Processing)

利用扩展卡尔曼滤波实现对雷达数据的处理，平滑雷达数据(Radar data processing is realized by extended Calman filtering and radar data is smoothed)

说明：  程序mtlab中的代码-地震波反应谱与时程波相互转换(Interconversion between seismic response spectrum and time-history wave)

本演示实现了主动轮廓模型由Kass等人提出。 要运行它的图形用户界面 1。基于MATLAB型引导提示。 2。关于“到现有的图形用户界面，点击” 3。选择在与本文件相同的目录snk.fig文件 4。按一下上方的绿色箭头启动图形界面 一旦GUI已经启动，您可以通过使用蛇 1。点击“新形象”，并加载输入图像。提供的样品图像。 2。平滑参数设置“西格玛”或保留其默认值并点击“过滤器”。这将平滑图像。 3。只要你点击“过滤器”，头发会出现交叉，用他们和你左击鼠标，您可以选择在图像上的初始轮廓的位置。会出现一个红色圆圈到处您单击并在多数情况下，你应该单击对象周围的一切你想要的部分。最后一点，必须挑选使用右键单击，以阻止更多的积分为MATLAB的要求。 4。设置各种蛇参数（在能源方面的相对权重的蛇目标函数）或离开它们的默认值，然后按一下他们“迭代”按钮。蛇会出现和移动，因为它收敛到它的低能量状态。(This demo implements the Active Contour Models as proposed by Kass et al. To run it with GUI 1. Type guide on the matlab prompt. 2. Click on "Go to Existing GUI" 3. Select the snk.fig file in the same directory as this file 4. Click the green arrow at the top to launch the GUI Once the GUI has been launched, you can use snakes by 1. Click on "New Image" and load an input image. Samples image are provided. 2. Set the smoothing parameter "sigma" or leave it at its default value and click "Filter". This will smooth the image. 3. As soon as you click "Filter", cross hairs would appear and using them and left click of you mouse you can pick initial contour location on the image. A red circle would appear everywhere you click and in most cases you should click all the way around the object you want to segment. The last point must be picked using a right-click in order to stop matlab for asking for more points. 4. Set the various snake paramete)