waibianma

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)

螺栓行业标准，介绍了各种螺栓的受力分析 和计算，图表等举例说明。(Bolt industry standards, describes the various bolt stress analysis and calculations, charts illustrate.)

Digital signal processing is the important aspect of modern communication system. here is the matlab code given which helps for the beginers for understanding the basics of DSP.

shot ditection using ECR

有关通信系统中信道同步的问题，希望与大家切磋，多多指教。(the Channel Communication System synchronization issues, and we hope that the discussions and exhibitions.)

用于实现加了噪声的灰度图像阈值分割的一维最大熵方法，matlab源程序(Used to realize the addition of noise gray image threshold segmentation of the one-dimensional maximum entropy method, matlab source)

用于计算无故障的斜齿轮对啮合时接触线长度随时间的变化(calculation of the contact line length of the helical gear)

DISTANCE PROTECTION BY MATLAB

用镜像延拓法处理端点效应，通过信号极值点的信息来获得信号端点之外的极值点信息。(Continuation method using image processing endpoint effect, through the extreme points of the information signal to obtain signal the endpoint of the extremal points outside information.)

说明：  MATLAB环境下，一维小波分解并提取细节系数和近似系数，再加小波包分解信号(MATLAB environment, the one-dimensional wavelet decomposition and extract detail coefficients and approximation coefficients of wavelet packet decomposition of signal plus)