My_DTC_good

matlab经典学习教程，从入门到精通，适合初学者使用(matlab classical learning tutorials, from entry to the master for beginners)

有序统计量恒虚警检测——OS-CFAR检测器：包括对于无目标、仅有噪声的信号进行OS-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的OS算法仿真。一些程序主要是为了绘图，画出OS-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算OS-CFAR检测过程中的检测概率和虚警概率。(OS-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using OS-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of OS-CFAR algorithm.)

The user material subroutine example

可以实现QPSK解调的matlab代码，希望对大家有所帮助(realize QPSK mode)

对隧道交通建立数学模型，并用matlab求解，得到该模型下隧道的最大车流量。(A mathematical model for tunnel traffic and use matlab to solve, to get the maximum traffic tunnel model.)

这是一个关于潮流计算的Matlab小程序，可以帮助初学者熟悉电力系统方面相关程序编写(This is a small program on Matlab flow calculation, can help beginners familiar with aspects of the power system-related programming)

光纤耦合器中光孤子传输仿真研究__本文用matlab对光孤子在光纤耦合器中传输的过程进行仿真。(Optical fiber coupler in the simulation of optical soliton transmission using matlab __ optical solitons in optical fiber coupler in the transmission process simulation.)

说明：  灰度门限化许多情况，图象是由具有不同灰度级的两类区域组成。如文字与纸张、地物与云层（航空照片）。其特点:直方图具有两个峰，分别与两个灰度级范围相对应 。故可选择一个门限，将两个峰分开。(Gray threshold of many cases, the image is gray level of two different regional groupings. If words and paper, surface features and cloud cover (aerial photograph). Its features: histogram has two peak, respectively, with the two gray-scale range corresponding to. So choose a threshold, separating the two peaks.)

绘制不同函数曲线的用户界面，可控制小球运动速度的用户界面达到多样性，还有一些关于图像的频率格式转换的操作(Function curve to draw different user interface, can control the ball speed to achieve diversity in the user interface, and some on the frequency of the image format conversion operations)

Ritz法解决-u +u=x 0<x<1，u(0)=0,u(1)=0的有限元边值问题。精确解为u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x，基函数为g(i)=sin(i*pi*x)(This matlab code is used to solve the boundary value problem of the differential equation: -u +u=x 0<x<1，u(0)=0,u(1)=0, where the accurate solution is : u(x)=1/(exp(1)-1/exp(1))*exp(-x)+1/(1/exp(1)-exp(1))*exp(x)+x)