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如果你第一次使用D12，请先阅读该文档，将会对你的编程有很大帮助。(if you use the PDIUSBD12 first time ,please read this file first.)

说明：  PLC动态库 vb编程 支持s7-1200(PLC Dynamic Library Support s7-1200)

一个基于python 的V2V仿真代码。(the code is about V2V communication simulation)

研究TDMA接入方式的性能研究,包含吞吐量与传输时延、传输速率(TDMA suhdiuah shduah9hiisahid)

利用gsoap开发的C++客户端和服务端例子(Developed using C++ gsoap client and server example)

explains OFDM transmitter AM/PM effect at 64QAM signals

这是在MATLAB环境下实现ppm调制解调的程序代码(This is the code in the MATLAB environment ppm modem)

SLM算法降低OFDM通信系统中的PAPR，使用matlab进行仿真(SLM algorithm reduces PAPR in OFDM communication system, and matlab is used for simulation)

HYBRID VIDEO CODING MODEL OF FINITE RIDGELET TRANSFORM AND H.264/AVC Tomokazu Murakami and Masashi Takahashi Embedded System Platform Research Laboratory, Hitachi, Ltd. 292, Yoshida-cho, Totsuka-ku, Yokohama, 244-0817, Japan

第一次作业_基于分类算法的雷达状态识别 对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)