zhouqixing_check

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)

分析了维纳滤波器均方误差及滤波性能与阶数和噪声方差之间的关系(Analysis of the Wiener filter and the filter mean square error performance and the order and the relationship between noise variance)

在过程控制中，按偏差的比例（P）、积分（I）和微分（D）进行控制的PID控制器（亦称PID调节器）是应用最为广泛的一种自动控制器。(In process control, according to the percentage of deviation (P), Integral (I) and differential (D) control of PID controller (also known as PID regulators) is the most widely used of an automatic controller.)

This file contains a summary of what you will find in each of the files that make up your Graphic2 application.

使用Matlab编写的一个dijkstra算法，非常的实际好用(Written using Matlab a dijkstra algorithm, a very practical easy to use)

最新粒子群matlab算法，适用性强，傻瓜式套用(New particle swarm algorithm matlab, applicability, Fool Apply)

matlab FastICA快速独立分量分析 通过FastICA工具箱(内含),对图像、音频进行盲源分离,去均值,白化处理,支持tif,jpg,bmp,wav等多种格式，并附有详细程序注释及sample供运行使用(matlab FastICA fast independent component analysis FastICA toolbox (included), images, audio, blind source separation to mean whitening process to support a variety of formats such as tif, jpg, bmp, wav, together with a detailed program comments The sample for the run to use)

一维最大似然算法（ML），用于进行阵列信号的波达角估计(An implementation of 1D ML algorithm, which is used in the DoA estimation of array signal processing.)

this is a gui program for the comparisoof spast past astd and opast algorithm

rat spynet.. um bom rat para aprendizagem