demo-of-LFM-pulse-radar

io重叠中的完成实例模型，典型代码，ioCallBack源码(io complete overlap in the model example of a typical code, ioCallBack source)

关于turbo码编码的仿真程序，简单实用，是初学者的理想程序(On the turbo coding of the simulation program, simple and practical, is the ideal program for beginners)

利用经典MUSIC算法及MMUSIC算法估计波达方向，绝对可运行！程序没错误！(Using the classical MUSIC algorithm and MMUSIC algorithm to estimate DOA, absolutely can run! Program did not wrong!)

上线（单通）的聚类算法，它接受在每一步的单个样品，更新聚类中心，并产生新的中心，根据需要。该算法是有效的，在它生成一个单传的数据集群中心。(ADDC algorithm)

运用FRFT在OFDM系统中的仿真与最佳角度的探究(FRFT in OFDM systems using simulation and explore the best angle)

可以直接運行TestMyCrust.m，是讀取恐龍點雲的sample，load其它mat文件，可以查看其他samples。(Can be run directly TestMyCrust.m, is to read the dinosaur point cloud sample, load other mat file, you can view other samples.)

闻亭公司培训DM642的内部资料一共有五天，里面包含讲解的ppt,文档，开发工具，课堂源码例子等。这是第二天内容.(Wintech DM642 training information, total of five parts, which contains explanations ppt, documentation, development tools, source code examples of class and so on.This is the second part. )

这是一个关于模糊函数的matlab源代码，希望能对作相关领域的人带来一些帮助(This is a function on the fuzzy matlab source code, hoping to make the related fields to bring some help)

运用粒子群优化算法对ARMA(p,q)模型的阶数进行优化是可行的，且利用优化后的ARMA模型对航空发电机状态趋势进行分析的结果十分准确，与原始数据所表现出的航空发电机状态变化趋势基本一致。经计算，此时分析结果的平均相对误差较小，仅为1.38 ，与优化前构建的ARMA模型相比，平均相对误差降低0.23个百分点，优化效果明显。(Using particle swarm optimization algorithm to optimize the order of the ARMA (p, q) model is feasible, and the use of the results of the ARMA model optimized air generator status trends analysis is very accurate, and the raw data showed aviation the generator status consistent trend. Calculated analysis of the results, the average relative error is small, only 1.38 , compared with the the ARMA model built before optimization, average relative error is reduced by 0.23 percentage points, to optimize the effect is obvious.)

说明：  5G network with NOMA performance analysis