labview

本程序为实值空间ESPRIT算法源程序，是基本ESPRIT算法在性能上的一种改进(This program is in real space ESPRIT algorithm source code, is a basic algorithm ESPRIT an improvement in performance)

The Rough Sets experiments - Attribute Reduction(The Rough Sets experiments- Attribute Reduction)

this is digit recognition using som

说明：  MATLAB与C/C++混合编程代码,包括MATLAB引擎，MAT共享，MEX技术，COM，Mideva工具(MATLAB and C/C++ mixed programming code, including MATLAB engine, MAT share, MEX technology, COM, Mideva tools)

本次实验是要我们先产生心电信号，再加噪声再滤波。由一个心电信号数据表输出心电信号，由于已知的心电信号有噪声，所以我先将信号进行滤波，得到正确的心电信号。再加噪声，通过滤波可以得到高频和中频噪声，将原信号加上噪声显示再滤波。每次的时域信号都画出了他们相应的频谱，便于观察。每次的滤波我也尝试了不同的滤波器。(This experiment is to produce our first ECG, together with noise and then filtering. ECG data from a table output ECG, ECG as a known noise signal is filtered first, I get the correct ECG. Plus noise can be obtained by filtering high-frequency and intermediate frequency noise, the original signal plus noise shown again filtering. Time-domain signals each draw their corresponding spectrum, easy to observe. Every time I try to filter the different filters.)

生成一个规则LDPC码的教研矩阵H，其行数(越大越好)为列数的一半，行重为6，列重为3，任意两行没有围长为4的圈 使用方法：H=HGrandom2(m,n)。m表示行数，n表示列数(rules of a generation of research LDPC matrix H, its (larger the better) half of the series, re-6, series of three, two arbitrary line is not girth of the ring used four methods : H = HGrandom2 (m, n). Said a few m, n Columns)

用matlab实现了简单的图像处理，频率滤波(Using matlab to achieve a simple image processing, frequency filtering)

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)

model LPV the DFIG in matlab

matlab、 ga程序包 matlba 工具包 (matlab, ga package matlba Kit)