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说明：  基于树莓派的小车控制，四个直流电机驱动，驱动板为L298N，带web端控制(L298N drive car control based on Raspberry Pi)

使用VC实现的 连连看 所有源代码以及资源文件(Implemented using VC Lianliankan all source code and resource files)

该程序用以对PSK程序的调制解调的仿真，用FFT算法对其解调-procedures for the process of PSK modulation and demodulation of the simulation, using FFT algorithm demodulation

提出了一种自动构造特定领域本体的方法，该方法应用术语抽取和多重聚类技术。在术语抽取阶段，通过术语在专业语料与背景语料中出现概率的对比，采用LLR公式对术语进行评分，取得了更好的抽取效果。在层级关系发现过程中，采用上下文共现信息结合HowNet中词语的语义相似度，进行术语间相似度度量，力求获得术语间最合理的相关状况。同时改进了k-medoids聚类算法，更准确地发现术语的层级关系，进而构造出特定领域的本体。(This paper presents an approach to mining domain-dependent ontologies using term extraction and relationship discovery technology.There are two main innovations in the approach. One is extracting terms using log-likelihood ratio, which is based on the contrastive probabilityofterm occurrence in domain corpus and background corpus. The other is fusing together information from multiple knowledge sources as evidencesfor discovering particular semantic relationships among terms. In the experiment, traditional k-mediods algorithm is improved for multi-levelclustering. The approach to produce an ontology for the domain of computer science is applied and promising results are obtained.)

This pdf descripes DMA

利用vibe算法实现前景检测，有需要的同学可以下载直接运行(get the vibe code,only for study and learning)

一个简单的C++HTTPS协议的客服端的封装，速度还行(A simple C++HTTPS protocol for the customer service package, the speed is OK)

说明：  蒙特卡洛完成接收端BPSK信号捕获，可以绘制理论检测概率和仿真检测概率曲线(The BPSK signal acquisition is completed by Monte Carlo)

说明：  1.此处主要探究的是嫦娥三号探测器在月球表面的软着陆问题。2.分析着陆轨道的特点，设计着陆轨道与各阶段的控制策略，对我国太空探测计划具有重要意义。3.此处主要采用微分动力学方程、最优控制策略等方法对问题进行分析和解决。(1. This paper mainly discusses the soft landing of chang'e-3 on the lunar surface. 2. It is of great significance to analyze the characteristics of the landing orbit, design the landing orbit and control strategy of each stage. 3. Differential dynamic equation and optimal control strategy are used to analyze and solve the problem.)

该文件夹给出802.11a仿真源程序，推荐参考-The folder is 802.11a simulation program, recommended reference