现代谱估计 (2)

基于matlab的脉冲编码仿真,pcm 模块仿真系统等(Pulse coding Simulation based on matlab, Simulation system of pcm Module and so on)

说明：  包含对gpib通讯的一些操作，类中包括对安捷伦数字万用表的基本操作，对固纬程控电源的基本操作和程控变阻箱的基本操作(Contains some operations for GPIB Communications,Class includes the basic operation of Agilent digital multimeter, weft fixing programmable power supply and programmable resistance box.)

循环谱代码，应用于盲分离信号处理。非常适用于初学者，代码完整，仿真结果正确。(Cyclic spectrum code)

在 OFDM 数学原理和收发模型的基础上，本文对帧同步、定时同步、频率同 步和采样同步给 OFDM 系统所产生的影响进行了理论分析，同时讨论了基于循环 前缀或训练符号的典型 OFDM 同步算法。参考 802.11a 突发数据帧结构和系统参 数，分析几种 OFDM 同步算法用于突发分组传输的性能；在分析了几种经典的信 道估计算法基础上,通过对复杂度和性能的折衷，选择一种适合本文系统的估计 算法。最后作者提出一种改进型 LS 信道估计算法，该算法考虑了 LS 算法中噪声 的影响，从而提高了低信噪比下信道估计的精度。仿真结果表明，改进算法在低 信噪比下具有良好的性能。 (OFDM mathematical principles and transceiver model based on frame synchronization, timing synchronization, frequency synchronization and sampling synchronization to the OFDM system, the impact of the theoretical analysis are also discussed based on the cyclic prefix or training symbols typical OFDM synchronization algorithm . Reference 802.11a burst data frame structure and system parameters, analyze several OFDM synchronization algorithm for burst packet transmission performance several classic channel estimation algorithm based on a compromise between complexity and performance, select a suitable estimation algorithm in this article. Finally, the author proposed a modified LS channel estimation algorithm that takes into account the effects of noise in the LS algorithm, thus improving the low SNR channel estimation accuracy. Simulation results show that the improved algorithm has good performance in low signal-to-noise ratio.)

MIMO——OFDM系统实现,代码完整，适合练习使用(The implementation of MIMO and OFDM system)

说明：  opnet学习入门视频教程 这个对初学者很有用的(opnet Getting Started video tutorial to learn this very useful for beginners)

基于梳状导频的OFDM信道估计中LS算法的测试程序(LS algorithm testing program based on the the comb pilot of OFDM channel estimation)

基于RWG奇函数的矩量法的阻抗矩阵部分的编程代码(Programming code of impedance matrix part of moment method based on RWG odd function)

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.)

说明：  在MIMO系统里 2发2收天线，采用Alamouti发案编码的无线传输系统在瑞瑞丽平衰落信道下的误码率性能仿真，系统采用调制方式为QPSK。(MIMO 2 send and 2 receive antenna ,)