hybrid-PSO-based-on-TSP

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)

说明：  CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。(CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering.)

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采用离散傅立叶变换实现的低通滤波器，希望对你们有用，MATLAB实现(discrete Fourier transform of the low-pass filter, and I hope to you useful MATLAB)

经典的HOG特征的求法，在matlab下面运行(HOG features the classic method for finding run in matlab the following)

matlab实现，主要实现wiener滤波、qrst复合波检测、RR间期检测(Matlab realization main Wiener filter, qrst composite wave detection, RR interval detection, etc.)

雷达信号处理领域入门与提高的好资料，适合于考前复习与项目使用，对很多概念有深入讲解，易于理解(A good data entry field of radar signal processing and improve the exam review, suitable for use with the project, there are many in-depth explanation of concept, easy to understand)

这是实现压缩感知中的匹配追踪算法。 匹配追踪算法是一种最常用的压缩感知算法。(This is the compression-aware matching pursuit algorithm. The matching pursuit algorithm is one of the most commonly used in compressed sensing algorithm.)

地震信号研究中，建立主频freq为15Hz的单道雷克子波，并进行频谱分析。这个是自己学习时编的，每步都有详细说明和个人认识。(Study of seismic signals, the establishment of frequency freq 15Hz single-channel Ricker wavelet and spectral analysis. This learning series, each step in detail and personal understanding.)

贝叶斯分类器 模式识别（电子工业出版社）源代码(Bayesian classifier ..........)