DC_Motor_Model

录入程序代码，并对该实验代码进行调试，检查程序代码中的语法和语义错误。 编写函数f（x）的代码如下： Romberg算法¨ function z=f(x) if (x~=0) z=sin(x)/x else z=1 end 备注：在实验代码中，首先输入必要的变量的值如下： a=0 b=1 tol=1e-8 待查询检查通过，开始输入执行代码 设置格式format short g查看u的值和sin（u）的值： (Input program code, and debugging code for the experiment to check the program code in the syntax and semantic errors. The preparation of a function f (x) of the code is as follows: Romberg algorithm ¨ function z = f (x) if (x ~ = 0) z = sin (x)/x else z = 1 end Note: In the experimental code, First, enter the necessary value of the variable is as follows: a = 0 b = 1 tol = 1e-8 pending inquiries, checking through, began to enter the implementation of the code format format short g see u, values and sin (u) values:)

说明：  在OFDM系统中，这个是发端的编码程序，比较详细的说明(OFDM systems, this is the originator of the coding process)

数字图像处理，灰度线性变换MATLAB代码(digital image process, gray-level s linear transformation matlab code)

sar成像matlab程序，针对目标电磁特性成像，效果较好(sar image matlab)

说明：  积分分离PID算法的思想是：当被控量与设计的偏差量偏差较大时，取消积分量，以免积分量使系统稳定性降低，超调量增大；当被控值接近定值时，引入积分控制，以消除静差，提高系统精度。(integral separation PID algorithm thinking is this : When the volume charged with the design of larger deviations deviation, the abolition of Integral volume, the volume so integral to reduce the system stability, over-regulation increased; When charged with setting value approach, the introduction of integral control to eliminate static error and improve system accuracy.)

create modulated BPSK signal

往复活塞式内燃机关键部件设计、计算、校核的Matlab运行的M文件，本人亲自编写，一定可用！dlm(These M files of Matlab is for designing,computting and checking parts of reciprocating engine. )

动态矩阵控制算法的matlab研究，预测优化反馈的程序编写(Matlab study of dynamic matrix control algorithm, program optimization for predictive feedback)

先生成这样的一幅500*500的RGB彩色图像：一个田字格，左上和右下是绿色，右上是红色，坐下是蓝色。并进行如下处理：（a）将该图像转换到HSI空间，用25*25的平均模板模糊H分量图像，再转换回RGB空间；（b）重复（a），只是这次处理的是S分量。最后简单分析结果。（内含实验报告） (Mr. into a 500* 500 RGB color image: a field word lattice, the upper left and lower right is green, the upper right is red the sit is blue. And be handled as follows: (a) the image into the HSI space, fuzzy H 25* 25 average template component image, and then converted back to RGB space (b) Repeat (a), only this time to deal with the S component . Finally, a simple analysis of the results. (Contains experimental report))

EM Wave propagation and antenna analysis m-files: