EE76-power-system-simulation-lab

频谱细化分析MATLAB程序，ZOOM FFT分析，频谱放大功能( Zoom-FFT)

说明：  利用Matlab软件平台对JTC进行了图像识别仿真实验，得到了二维及三维相关输出图像，显示出尖锐的相关峰。仿真实验表明：联合变换进行图像识别中存在强烈的零级干扰，干扰信号是有用信号的7.14倍，输出结果不理想；采用功率谱相减法可以消除零级强干扰，进而提高了图像的识别能力。(Simulations of joint transform correlator (JTC) using Matlab is implemented, and the 2-D and 3-D drawings of the correlation image are obtained. In the simulation experiments, the sharper correlation peaks are showed. The result shows that strong disturbance of zero rank exists in the simulation of JTC, and it is 7.14 times stronger than the useful signal thus, the power spectrum subtraction is used to eliminate the strong disturbance, and the capacity of image recognition is improved.)

说明：  这是一个自适应滤波器的程序，我加上了注解，易于初学者学习。(adaptive filter)

that is mdl file for tuning pi controller for dc machine.

这个代码完成了图像识别一个很关键的功能。(this code is very important for ditial image identification.)

the code file that is uploded is rfft file

维纳滤波器（Wiener filter）是由数学家维纳（Rorbert Wiener）提出的一种以最小平方为最优准则的线性滤波器。在一定的约束条件下，其输出与一给定函数（通常称为期望输出）的差的平方达到最小，通过数学运算最终可变为一个托布利兹方程的求解问题。维纳滤波器又被称为最小二乘滤波器或最小平方滤波器，目前是基本的滤波方法之一。(Wiener filter (Wiener filter) is caused by a mathematician Wiener (Rorbert Wiener) proposed guidelines for the minimum square optimal linear filter. Under certain constraints, which outputs a given function (often called the desired output) reaches the minimum squared differential, the final mathematical operation may become a problem solving Equation Leeds Taub. Wiener filter is also known as the least squares filter or least squares filter, currently one of the basic filtering methods.)

摄像机标定算法matlab实现，没有解压缩码，欢迎使用。Tsai和zhang的经典算法。(Matlab camera calibration algorithm to achieve)

说明：  DF协作系统MPSK SER分析,包括SER上界,高信噪比条件下的优化功率分配的SER仿真结果.(DF analysis of MPSK SER Collaborative System, including the SER upper bound, under the conditions of high signal to noise ratio to optimize power distribution simulation results of SER.)

演示MA序列的特征值、自协方差函数和谱密度。程序是开放的，可以修改参数(MA eigenvalues ​ ​ demo sequence, since covariance function and spectral density. The program is open, you can modify the parameters)