QPSK_64Carrier_fd1000

光纤通信系统中的相干光仿真，包括数字信号处理的全部过程和光纤信道的建模，针对16QAM的调制格式，带有Nyquist信号生成(Coherent light simulation in optical fiber communication system, including the whole process of digital signal processing and the modeling of optical fiber channel)

cooperative relay communication ieee

陈式混沌系统的解法，吸引子、时序、功率谱、庞加莱图、分叉图等(The solution of Chen type chaotic system, attractor, timing, power spectrum, Poincare diagram, bifurcation diagram, etc.)

RFM 70 radio Transever 2.4GHz

文章涉及OTDM系统的实现，对研究此方向的同学有一定帮助(OTDM systems involved in the realization of the article, students in this direction of research will definitely help)

MATLAB仿真，对比OFDM与F-OFDM性能(Compare F-OFDM with OFDM using MATLAB)

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：  一种基于独立分量分析的改进算法． 可用于瞬时混合的盲分离．(based on independent component analysis algorithm improvements. For transient mixed Blind separation.)

radar basics and about two a4 sheets.

运用labview开发环境，实现串口通讯，接受串口发送接收的数据(Development environment using labview, serial communications, sending and receiving serial data received )