moyenne

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)

3GPP标准交织器，南京邮电大学，通信工程系(3GPP standard interleaver)

开关DC-DC振铃燥声的滤波 pdf文档很权威 开关DC-DC振铃燥声的滤波 pdf文档很权威 开关DC-DC振铃燥声的滤波 pdf文档很权威(Switch DC-DC ringing noise filtering PDF document is the authority Switch DC-DC ringing noise filtering PDF document is the authority Switch DC-DC ringing noise filtering PDF document is the authority)

MATLAB软件基本的图形应用实例，浅显易懂(MATLAB basic graphics software applications, easy to understand)

说明：  语音信号分析软件，提取美尔倒谱系数等等功能(Speech signal analysis software, extract Simmel cepstral coefficient features, etc.)

这是matlab扩展编程的应用，里面包含了matlab扩展编程的具体实例，主要任务是语言识别。(This is the matlab extension application programming, which includes specific examples of matlab extension programming, the main task of speech recognition.)

FDTD simulating problem Sullivan.

berryz_webshareP

v(k)随机信号，输入信号为幅值为M序列程序.利用极大似然递推进行参数辨识，文件的*m文件，可以直接运行，能直接辨识出参数，绘制误差曲线等，程序中带有详细注释。(v (k) random signal, the input signal amplitude for the M series for the process. the use of recursive maximum likelihood parameter identification, documentation* m files, you can directly run directly identified parameters, such as mapping error curve, procedures with detailed notes in.)

说明：  matlab写的plsa 的demo例程。 (matlab routines written plsa the demo.)