PGA28_datasheet

利用GAN网络进行手写数字识别，经过测试，可以达到很高的分类效果。很适合GAN网络初学者。(This is code for GAN.)

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.)

一个经典的代码统计工具，可以帮助你清晰的查找出您的代码行数、注释行数、空格行数，希望能有所帮助！-code of a classical statistical tools that can help you clear out your search for the source line number, a few notes. a few spaces, hopes to have help!

M8电子负载，下位机程序源码.diy电子负载可以参考(M8 electronic load, the next machine program source. Diy electronic load can refer to)

说明：  matlab 实现polar码仿真，十分经典的算法，值得参考(Matlab implementation of Polar code simulation, a very classic algorithm, worthy of reference)

动画效果很强，在高 版本浏览器下浏览，就像是flash动画一样低版本浏览器下，只能是类似网页一样的效果，可以上下拖动，不过UI同样很漂亮(The animation effect is very strong, browsing in the high version browser, like flash animation in the low version browser, can only be similar to the web page effect, can be dragged up and down, but the UI is also very beautiful)

说明：  编译原理，现代，中文版，第二版，扫描版，计算机，c语言(Modern Compiler Implementation in C Chinese edition)

说明：  电动汽车汽车模型，用于学习和交流，simulink模型(EV model for learning and communication)

C++程序供初学者使用-C program for beginners

lcc书籍的中文翻译.详细介绍lcc的源代码,数据结构等.是用来分析lcc源代码的最佳工具.(LCC books in Chinese translation. Details LCC source code data structure. LCC is used to analyze source code for the best tools.)