Multivariate-Linear-Regression

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)

扩展KALMAN滤波方面的应用，应用于系统跟踪等方面的问题(extended Kalman filter on the application, application tracking systems and other issues)

chebyshev 2值量化辛辛苦苦的编程 奉献给大家 ，愿大家在混沌序列上共同提高(chebyshev 2 value quantization laboriously programming dedicated to you, everyone is willing to jointly improve the chaotic sequence)

维也纳大学LTE-A系统级仿真matlab程序。(University of Vienna LTE-A system-level simulation matlab program.)

说明：  meanshift跟踪算法的实现，主要是利用metlab来完成的，效果还不错(mean shift tracking algorism)

法国人Rilling的程序写的EMD分解的程序 on empirical mode decompos and its algorithms. 内附说明 (Matlab codes for CEEMDAN (ref. [C162])on empirical mode decompos and its algorithms)

matlab软件中的遗传算法的工具箱中的m文件 (m files in the genetic algorithm toolbox matlab software)

说明：  使用蒙特卡罗方法计算n维球体的体积，很有趣的程序(An interesting program for calculating the volume of n-dimensional spheres by Monte Carlo method)

说明：  基于空间感知的协同表示算法应用于高光谱遥感图像分类(Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification)

Static system analisy