工业以太网现场总线EtherCAT驱动程序设计及应用

说明：  直升机建模,这是一篇关于二自由度直升机模型的源代码，可以赋初值(arizonal state university matlab (source code of helicopter simulation, by arizonal state university (matlab)))

带有异步清零、异步置位功能的边沿JK触发器(With asynchronous reset, asynchronous setting function of edge JK flip-flop)

说明：  attention机制的LSTM网络，十分好用(The LSTM network of attention mechanism is very easy to use)

一个国外的代码，仿造虚拟城市制作，矢量风格，十分优秀。-A foreign code, modeled after the production of virtual city, Vector style, very good.

说明：  使用遗传算法对PID三个参数寻找最优配置(Using genetic algorithm to find the optimal configuration of three PID parameters)

基于stm32l476的显示屏例程，接口为SPI，使用最新的HAL库，有cubemx工程文件可供参阅(Based on the display routine of stm32l476, the interface is SPI, using the latest HAL library, there are cubemx engineering files available for reference)

《测量平差程序设计》（宋力杰编著）一书的源码(" Surveying Adjustment Program Design" (Song Lijie eds) source)

车轮踏面磨耗论文，对轮轨接触进行分析(Wheel tread wear paper, wheel-rail contact analysis)

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.)

说明：  热导率计算相关资料，lammps输入文件(thermal conductivity)