Matlab

Matlab 6.X辅助图像处理一书的源代码,对图像处理的初学者很有用哦(Matlab 6.X-assisted image processing of a book on the source code of image processing useful beginners Oh)

GVF SNKE 模型matlab源代码(gvf snake)

This is a tutorial to help you get started in Matlab. To find more details see the very helpful book Mastering MATLAB 6 by Duane Hanselman and Bruce Littlefield. Examples of Matlab code in this pamphlet are in typewriter font like this. As you read through the sections below type and execute in Matlab all of the examples, either at the  command line prompt or in a test program you make called test.m. Longer sections of code are flagged with the characters begin and end. All of the Matlab code between these two

无边界主动轮廓模型的matlab实现，对一些简单图像具有很好的分割效果(Borderless active contour model matlab realize, for some simple image with good segmentation results)

Heat equation with variable coeficients using Gauss-Seidel Method:

该程序是基于粒子群算法优化支持向量机中的正则化参数C和核函数参数K的算法，实现了对电力负荷的短期预测，预测效果较好，可根据自己要求进行更改。(The algorithm is based on particle swarm optimization algorithm to optimize regularization parameter C and kernel function parameter K in support vector machine. It realizes the short-term prediction of power load, and the prediction effect is good, and can be changed according to the requirements.)

波束形成就是从传感器阵列重构源信号。（1）、通过增加期望信源的贡献来实现；（2）、通过抑制掉干扰源来实现。经典的波束形成需要观测方向(期望信源的方向)的知识。盲波束形成试图在没有期望信源方向信息的情况下进行信源的恢复。 波束形成技术的基本思想是：通过将各阵元输出进行加权求和，在一时间内将天线阵列波束“导向”到一个方向上，对期望信号得到最大输出功率的导向位置即给出DOA估计。 虽然阵列天线的方向图是全方向的，但阵列的输出经过加权求和后，却可以被调整到阵列接收的方向增益聚集在一个方向上，相当于形成了一个”波束”。这就是波束形成的物理意义所在。 ()

LQR源程序，解压缩后直接用Matlab7.0运行(LQR source, unzip it to run directly Matlab7.0)

说明：  粒子群优化算法，是一种连续空间的优化的算法(Particle swarm optimization is an optimization algorithm for continuous space)

定义坐标轴的显示范围用axis指令 语法：axis([xmin xmax ymin ymax]) 你的例子ymin ymax应分别设为0和0.5，xmin xmax 取周期的两端。 然后再plot（x,y） 欢迎一起探讨matlab的使用：） (draw picture in matlab)