Sato

turbo c 绘制船并裁剪，感觉不错，可以使用，你值得拥有(turbo c plotted ship and cutting, feeling good, you can use, you deserve)

说明：  can总线 多帧传输 接收发送(Can bus multi-frame transmission receiving and sending)

采用Simulink 平台对OFDM 进行仿真，确定系统的参数，完成参数设置，构建了一个简单的OFDM通信系统。(Using Simulink platform to simulate OFDM, determine the parameters of the system, complete the parameter settings, and build a simple OFDM communication system.)

TCP/ip GPRS DTU源码 工业GPRS无线传入接入方案 数据中心(TCP/ip GPRS DTU source industrial GPRS wireless incoming data center access solutions)

基于Matlab的压缩感知信道估计算法 基于导频的信道估计 MMSE算法(Compressed Sensing Channel Estimation Based on MATLAB)

bpsk qpsk 16qam 64qam频带上的调制解调信号包括误码率曲线，眼图和星座图(bpsk qpsk 16qam 64qam modulation and demodulation)

automatic link establishment radio software

说明：  5. 在三条径的瑞利信道中，对于直接序列扩频： (1) 请设计DS-CDMA一种具体的码分导引辅助的信道估计方法，接收机分别采用等均益合并、最大比合并。用Simulink进行仿真，画出比特信噪比与信道估计均方误差的关系曲线和比特信噪比与误码率的关系曲线。 (2) 设频率已经同步，请设计DS-CDMA一种具体的单停顿滑动相关时间同步方法，用Simulink进行仿真，画出比特信噪比与捕获概率的关系曲线。 (3) 设时间已经同步，请设计DS-CDMA一种具体的频率同步方法，用Simulink进行仿真，画出比特信噪比与频率同步误差的关系曲线。(5. In three-path Rayleigh channel, for direct sequence spread spectrum: (1) please design a specific code division navigation aided channel estimation method for ds-cdma, and adopt equal-beneficial combination and maximum ratio combination for receivers respectively.Simulink is used to simulate and draw the relationship curve between bit SNR and channel estimation mean square error and the relationship curve between bit SNR and bit error rate. (2) assuming that the frequency has been synchronized, please design a specific single-stop sliding correlation time synchronization method ds-cdma, Simulink simulation, draw the relationship between the bit SNR and the acquisition probability curve. (3) if the time has been synchronized, please design a specific frequency synchronization method ds-cdma, Simulink simulation, draw the relationship between the bit SNR and frequency synchronization error curve.)

这是16QAM的仿真，带GUI界面，很好用的。(This is 16QAM simulation, with GUI interface, very useful.)

说明：  利用遗传算法优化SVM的两个参数，得到高精度的SVM模型用于识别分类(Optimization of SVM parameters by GA algorithm)