qpsk

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)

说明：  matlab实用程序教程，里面包含100个实用编程，可帮助初学者轻松入门matlaB(tutorial matlab utility, which contains 100 practical program that can help beginners get started matlaB)

对AR（4）模型的经典功率谱估计，并与真实功率谱作比较。采用了welch方法，协方差法，burg方法(For AR (4) model of the classic power spectrum estimation, and with true power spectrum for comparison. Welch method using covariance method, burg method)

求解复杂网络的相关程序，相关系数，绘图等等(Procedures for solving complex networks, the correlation coefficient, graphics, etc.)

基于元胞自动机的沙漏程序，有详细的注释，适合于学习(Based on Cellular Automata hourglass procedures, detailed notes, suitable for learning)

该程序属于光学检测领域，其作用将光学波前转变为泽尼克多项式(The code here is belonged to optical test field.And it changes the optical wave phase into Zernike polynomials)

Matlab OFDM MIMO antennas Rayleigh channel

PCA主元分析是用于过程监测中的很好的方法(PCA principal component analysis is used to process monitoring in the good way)

从变量可见性角度分析，Matlab程序运行过程中（以下不特别说明都是指在Matlab程序中），不同形式的变量可见范围源于于面向对象编程的概念.(variables can be seen from the point of view of analysis, Matlab procedures in the process (not refer specifically explain procedures in Matlab), different forms of variable can be seen in the area stems from the object-oriented programming concepts.)

计算关于转子动力学中，如何求传递矩阵的的系数的程序(calculated on rotor dynamics, how to request the transfer matrix of the coefficients of procedures)