Essentials-MATLAB-Programming-2nd-txtbk

ConventionalBeamforming codes and will show us detailed information on it, including some figures

说明：  详细介绍matlab中用来处理图像的工具箱以及工具箱的具体运用方法(Details matlab image processing toolbox used to the concrete application of methods and tool kit)

will compute haar features for five types of classifier.

蒙特卡洛仿真的文档，对学习通信系统仿真由很大的帮助，请仔细阅读(Monte Carlo simulation of the document, to learn communication system simulation by the great help, please read carefully)

自相关法谱估计的程序，这是一种经典的方法，效果真心不错(Autocorrelation spectrum estimation procedure, which is a classic method, the effect is really good)

一个简单的水平集演化的matlab仿真，带注释。便于初学matlab，图像处理以及水平集的同学学习。(A simple level set matlab simulation, with comments. Easy beginner matlab, image processing and level set of students to learn.)

Average based noise estimation

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.)

我从国外网站上下载的matlab编程资料,感觉挺好的,上传一下与大家共分享(from overseas sites I download the Matlab programming information, I feel very good, and upload what we were sharing)

详解matlab通信系统 第一章 代码 详解matlab通信系统 第一章 代码(Detailed communication systems matlab matlab code Comments chap chap code communication system)