gmsk_new

说明：  stm32f407 跑马灯实验 原子个例程 学习模块(stm32f407 led run stm32f407 stm32f407 stm32f407)

说明：  对2发1收的STBC-MIMO系统 （Alamouti空时码），分析2发射天线分别受到独立瑞利信道下的误码率性能曲线， 并与相同条件下单天线曲线进行对比分析(MIMO,SPACE TIME CODE)

说明：  小数频锁相环建模，适用于学习了解小数频率综合器设计人群。(Modeling of fractional frequency PLL)

基于matlab平台的LDPC编码译码仿真，很实用(LDPC coding and decoding simulation based on MATLAB platform which is really usefull.)

说明：  适应多个模式的rs编码，Verilog，选择对应的多项式(RS coding adapted to multiple modes.)

源信号数目的估计在阵列信号处理中有很广的研究了，这个源程序是基于新一代通信环境下的源信号数目估计，如mimo——ofdm(detection the number of source signals for MIMO_OFDM)

本文以12个例程详细介绍了opnet的使用，尤其适合初学者。(This paper details the 12 routines opnet use, especially for beginners.)

说明：  qpsk基带调制和解调matlab程序，包括gardner位同步(qpsk modulate and demodulate in baseband use matlab code,including gardner time synchronization)

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.)

A good book for C++ for beginners