levelset

说明：  利用小波方法对语音信号进行去噪，取得了很好的效果。(using wavelet method of voice signal denoising, and achieved very good results.)

此资料可以为matlab初学者提供良好的理论指导。( The material can provide theoretical guidance for matlab beginners.)

this is a program for model predictive control with MAC algorithm

说明：  matlab入门练习，包括各种作图举例，实现一些简单的算法(matlab learning)

a=load( q.txt ) width=input( 请输入窗宽 ) step=input( 请输入步长 ) m=length(a) for i=1:floor((m-width)/step+1) s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step) end b=max(max(s)) M=s./b Rs=input( 请输入本体集半径 ) nd=input( 请输入检测器数模 ) k=1 while k<=nd d{k}=rand(1,width) for i=1:floor((m-width)/step+1) if (norm(d{k}-s(i,:)))^2<Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2)

make binary from image part3

关于matlab的基本教程其中还含有绘图和图形处理，数值分析与数据分析的基本介绍(Basic introduction to the basic tutorial on matlab which also contain graphics and graphics processing, numerical analysis and data analysis)

实现串级控制，主要用工业过程控制。是一个仿真程序(Realize cascade control, the main industrial process control. Is a simulation program)

滤波器实现脉冲对消的多重MTI系统，非常简单的方法(Filter multi-pulse MTI system of elimination)

FCCU的模型预测控制是实现程序 基于MATLAB2010a实现，里面的题目才是正确的，前一个的题目不是对应该程序的。(FCCU model predictive control is to achieve the program based on MATLAB2010a to achieve, which is the right topic, a topic not on the front should be procedures.)