8PSK

使用opnet与matlab实现网络编码，源码在说明文档中有下载地址(Using opnet realize network with matlab coding, source code in the description in the document have Download)

LFM信号及回波的生成，时域及频谱分析，模糊度函数分析，时频分析，匹配滤波器能量检测、循环相关检测、及fmusic参数估计(LFM signal and the echo generation, time domain and spectral analysis, ambiguity function analysis, time-frequency analysis, the matched filter energy detection, loop correlation detection, parameter estimation and fmusic)

这个文件是讲大规模MIMO的scm模型的。代码容易看看懂(this document descpbe)

它是以概率统计理论为基础，依据大数定律（样本均值代替总体均值），利用电子计算机数字模拟技术，通过不断产生随机序列来模拟事件的过程，来解决一些很难直接用数学运算求解或其他方法不能解决的复杂问题的一种近似算法，它既可模拟随机事件，也可模拟确定性事件。(It is based on the theory of probability and statistics, based on the law of large numbers (the mean of sample instead of the average), and using the digital simulation technology of electronic computer to simulate the process of events by constantly generating random sequences to solve some complicated problems which are difficult to be solved directly by mathematical calculation or by other methods. Like algorithm, it can simulate both random events and deterministic events.)

本程序是用于PC与使用EtherNet/IP通讯协议的PLC进行通讯，采用C#语言编写。(This program is used for PC and the use of EtherNet/IP communication protocol PLC communication, using C# language.)

实用性代码，可以在手机等移动设备上很好的使用，可操作性强。(Usefulness of the code can be very good for use on mobile phones and other mobile devices operable.)

HHT变换的核心是EMD,在此项过程中通过EMD的编程和HHT的编程来实现了希尔伯特黄变换,可以看出处理此方法用来处理非线(The core of HHT transform is that EMD, realizes Hilbert Huang transform through EMD programming and HHT programming in this process. It can be seen that this method is used to deal with non-linear.)

OFDM峰均比抑制程序，包含代码对应的文章，方便理解(The OFDM PAPR inhibition program, contains the code that corresponds to the article, easy to understand)

两种非参数估计方法 核估计 局部线性估计(kernel smoothing local constant regression )

仿真图是速度、距离、幅度三维图像，插值与拟合的matlab实现，计算两个矩阵之间的欧氏距离。( FIG simulation speed, distance, amplitude three-dimensional image, Interpolation and fitting matlab implementation, Calculation of the Euclidean distance between the two matrices.)