influence-of-parameter-in-SVM

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)

使用matlab仿真QPSK，包括调制、解调，有详细的源代码，仅供参考(QPSKsimulation)

机器学习大牛周志华教授的关于“整体学习”的文章算法的实现。整体学习可以提高学习机器的推广能力。(Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate as well as diverse.)

相关系数计算的模拟,用于衡量两个数列的相关程度(coherence coefficient calculation)

QAM16调制的实现 matlab源程序源源码 星座图的输出与结果都正确 可直接使用。 (Matlab source source source constellation of QAM16 modulation output results are correct can be used directly.)

阵列信号处理课件，详细系统的讲解了阵列信号处理的方法与算法(Array signal processing system, detailed explanation of the array signal processing method and algorithm )

机械测试信号处理 附书的matlab源码。(Mechanical testing signal processing matlab source attached to the book.)

ECG NML for timeseries

课本ID3算法 matlab上实现课本上对天气的预测(Textbooks ID3 algorithm matlab realize)

画出下述情况下均匀线阵方向图 1）计算来波方向为0度方向图 2）画出来波方向为45度时的方向图 3）画出来波方向为0度，幅度取分贝数：20log***（单位为dB）时的方向图 4）画出来波方向为0度，随着阵元数的增加，当N=16，N=32时的方向图，并对方向图的变化情况进行说明(Draw the following conditions uniform linear array 1) calculation of wave direction is 0 degrees direction diagram 2) draw out the wave direction is 45 degrees direction map 3) draw out the wave direction is 0 degrees, and amplitude decibels: 20log*** (unit dB) when the direction of FIG. 4) draw out the wave direction is 0 degrees, with the increase of the number of array elements, when N=16, N=32 pattern, and the change of direction is described )