ZF-MMSE-equalizer-

说明：  matlab实现STBC的MIMO-OFDM的系统级仿真(Simulation of STBC MIMO-OFDM System with MATLAB)

一个协作通信系统的仿真,包括AF,DF协作方式,接收端采用不同的合并方式(最大比合并,选择合并)进行合并.根据接收端不同的接收合并方式进行最优功率分配(A cooperative communication system with AF,DF )

full source to hilgraeve HyperTerm 5.0 that is shipped with windows

声卡的双声道模拟输出，信号的采集与存储，信号的功率(Power spectrum analysis based on labview and data acquisition card, sound card, two-channel analog output signal acquisition and storag)

说明：  对接受到的调制信号的特征提取，用于调制识别(automatic modulation recognition)

GD32F库函数，各种外设，gpio等等(gd32 library v2.0.0 gpio ..)

WIgner Ville Distribution for time frequency analysis

说明：  关于Polar码的,编码和译码，适合初学者(something about polar code)

本代码描述了OFDM/OQAM的基本仿真框架，AWGN信道下的ber性能。OFDM/OQAM 是一种很好的多载波系统。(This code describes the basic simulation framework for OFDM/OQAM ber performance in the AWGN channel. OFDM/OQAM is a good multi-carrier system.)

说明：  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.)