fadianjikongzaifangcheng

说明：  matlab读取1.txt文件内数据，并隔行提取数据以新文件2.txt保存(Extract data interlaced and save in a new file)

本文作的工作是利用信号仿真器仿真GPS数字中频信号，并借助这些仿真信 号完成对GPS信号的捕获和跟踪性能的研究。(This article is for the use of GPS signal simulator simulation digital IF signal, and make use of these simulation signal completion of the GPS signal acquisition and tracking performance study.)

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.)

说明：  这是一个通信系统，复用资源下协作方案性能仿真(This is a communication system, the performance simulation of cooperation scheme under reuse resources)

通信物理层处理，包括发射机和接收机，内容有前导处理，信道估计，信道编解码，BPSK、QPSK和8PSK调制与解调等。(Communication the physical treatment, including the transmitter and receiver, the content is leading processing, channel estimation, channel decoding, BPSK QPSK and eight PSK modulation and demodulation, etc )

说明：  角速度匹配传递对准matlab仿真角速度匹配传递对准matlab仿真(matlab)

matlab与tracepro通信接口文件(Working with Matlab and TracePro through Dynamic Data Exchange)

for entropy H = entropy(S) this command will evaluate the entropy of S, S should be row matrix H = entropy([X Y Z]) this command will find the joint entropy for the 3 variables H = entropy([X,Y],[Z,W]) this will find H(X,Y/Z,W).. you can use it for any combination of joint entropies Please validate this function before using it

详细讲叙了SVPWM的VVVF的开环控制的原理以及仿真模型(Detailed spoke of the SVPWM VVVF open loop control principle and the simulation model )

DFIG m 风机开发的一个远代码 (DFIG m fan developed a far code)