EVLoad

说明：  谭甜源老师编写的基于PSCAD的 电力电子仿真，能帮助读者方便使用PSCAD来学习电力电子。(Power CAD simulation based on PSCAD written by Teacher Tan Tianyuan can help readers to use PSCAD to learn power electronics.)

说明：  MATLAB 利用Fisher分析和核Fisher分析对鸢尾花数据集进行分类，可以发现Kfisher 可以较好地对非线性数据的分类(MATLAB USES Fisher analysis and core Fisher analysis to classify the iris data set, and it can be found that Kfisher can classify the nonlinear data well)

说明：  data for touch with spice

说明：  Implementation of Difference Equation, Fourier Transform, DFT

视觉检测的国外好论文，非常适合新手阅读。-Visual inspection of the foreign good papers, very suitable for novice to read.

pid 模块化化得编程，是增量式的参数,是很基础的东西-pid

一种多学科优化算法-鲍威尔算法,给大家参考(A multidisciplinary optimization algorithm - Powell)

article about umat abaqus

串口检测，实现串口数据的检测，对发送的数据进行读取(Serial Port Detection,Realize the detection of serial data and read the transmitted data)

说明：  这些文件将在两用户非正交多址（NOMA）系统中实现用于信号检测的深度学习方法[1]。三个主要脚本分别是生成训练数据、训练神经网络和生成测试结果。该神经网络用于相位衰落的静态标量信道，用于NOMA系统中同时检测2个用户的单个子载波上的传输符号。考虑并测试了两种情况：一种是导频符号数目较少，另一种是循环前缀长度较短。在这两种情况下，深度学习方法都比传统的信道估计方法具有更强的鲁棒性。(These files are to implement the deep learning method for signal detection in a two-user non-orthogonal multiple access (NOMA) system [1]. The 3 main scripts are to generate training data, to train the neural network and to produce testing results, respectively. The neural network is trained for a static scalar channel with phase fading and is used to detect transmitted symbols on a single subcarrier for 2 users simultaneously in a NOMA system. Two scenarios are considered and tested: one is with fewer number of pilot symbols and the other is with shorter length of cyclic prefix. The deep learning method is shown to be more robust than conventional channel estimation methods in both cases.)