Mathematical-Contest

说明：  GPC代码 实现广义预测控制 可以设置预测时域和控制时域(GPC GPC code can set the prediction horizon and control the time-domain)

DSP2812变频调速SPWM控制开发流程，运动控制实验(DSP2812 frequency control SPWM control the development process, motion control experiment)

关于hilbert 空间填充曲线算法的应用(Hilbert space filling curve algorithm)

改进的量子遗传算法，求解最值问题，绝对没有密码(The improved quantum genetic algorithm to solve the most value problem There is absolutely no password)

Mobile networks management

一个关于精馏塔建模的matlab仿真程序，很经典的，值得大家来学习学习。呵呵。(a distillation of the Matlab modeling simulation program, the classic, worthwhile for us to learn from. Ha ha.)

最小凸包的实现程序，用matlab编程的源码，使用的不是matlab自带的凸包函数，而是自己编的，有详细的运算流程图，一看就懂，main为主程序，ConvexHull为函数。(ConvexHull，matlab，with Flow Diagram)

光OFDM系统中时间同步标准斯密特同步的程序的仿真，有兴趣的可以参考一下！(Optical OFDM system time synchronization standard simulation schmidl synchronization algorithm procedures, interested can refer to!)

《全面详解LTE：MATLAB建模、仿真与实现》是本LTE与MATLAB完美结合的图书，以实用、高效、直观的方式详解LTE，学习4G技术。详解LTE物理层及相关协议，包含MATLAB源代码，从事LTE领域，你会需要《全面详解LTE：MATLAB建模、仿真与实现》。( Full Detailed LTE: MATLAB modeling, simulation and implementation is the perfect combination of LTE and MATLAB books, practical, efficient and intuitive way to explain LTE, 4G technology learning. Detailed LTE physical layer and related protocols, including MATLAB source code, engaged in the field of LTE, you ll need to fully explain LTE: MATLAB modeling, simulation and implementation. )

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)