tuxiangruihua

Kalman滤波器，实现离散随机信号处理中的Kalman程序(Kalman filter, the realization of discrete-time stochastic signal processing procedures Kalman)

自建的风力机模型，估计是垃圾，大家可以看看(Self-built wind turbine model was estimated to be garbage)

LTE中有效信噪比映射EESM算法程序，是不同子载波中的信噪比的拟合过程中的核心算法 (LTE EESM effective SNR mapping algorithm program, are fitting process different sub-carriers in the signal to noise ratio of the core algorithm)

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)

Run this m-file to see several examples of volume visualization in MATLAB.

数字信号处理——基于计算机的方法（第三版），内含各种算法及实例(Digital signal processing-- a computer based approach ( Third Edition ), containing a variety of algorithms and examples)

feature extraction with matlab

it is very good program for developers

说明：  dv-hop算法仿真，该算法能够对一定区域内的未知节点进行定位(dv-hop algorithm simulation, the algorithm can be in the region to locate the unknown node)

Gesture recognition by nn