association_ant_badri_TIT

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

in this package are the programs needed to solve any initial value differential problem.

Hough算法的matlab实现，可以检测出图像中存在的不同半径的圆(Hough algorithm matlab realize, can detect the presence of different radii of the circles in the image)

数字水印技术是近年来图像保护技术研究领域的一个热点,本文提出了一种基于小波变换的图像数字水印嵌入算法的Matlab实现。实验结果表明,该算法具有较好的视觉效果和透明性。 (Abstract　The digital watermarking technology is the most active topic in image protecting recently.In this paper, a digital watermarking algorithm based on Wavelet transform is proposed,and give ou the program of this algorithm by MatLab.The experimental results demonstrate that the method possess good vision effect and transparence. Keywords　Image protecting　Wavelet transform　Digital　Watermarking　Matlab )

analog communication lab experiments and source codes using MATLAB

计算微带线和带状线的阻抗、有效介电常数等参数的一些脚本，内附详细注释，看了就能用(Some strips for parameters calculation of microstrip lines and strip lines)

hodge decomposition for 2D vector fields.

this is coding of dwt in matlab

In this paper, an attractive approach for teaching genetic algorithm (GA) is pre-sented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation and selection. A detailed illustrative example is presented to demonstrate that GA is capable of finding global or near-global optimum solutions of multi-modal functions. An application of GA in designing a robust controller for uncertain control systems is also given to show its potential in designing engineering intelligent systems

在window环境下，在MATLAB平台中，读写SEGY地震数据(In the window environment, MATLAB platforms, seismic data read and write SEGY)