mrc-antena(snr)

线性系统的校正方法，各种矫正方法都有涉及(Linear Systems correction method, various correction methods have involved)

16信道化合成matlab仿真，基于一种新的方式，非杨小牛书上的那种，并且易于FPGA实现(16 channel combined into the matlab simulation, based on a new way, the Yang books of that kind of, and easy to FPGA implementation )

基于羽田孜模型的预知的路径损耗 基于爱德华兹和德金模型的路径损失预知 基于帕森斯与伊布拉因模型的路径损耗预知(Tsutomu Hata model based on predictable path loss payments based on Edwards and the German model to predict the path loss model based on Parsons and Ibraim predict the path loss)

MATLAB低通滤波程序，很好的源代码，希望对大家有用(filter)

说明：  Vblast，不同的编码方式qam，qpsk等，MMSE检测。不同天线数目设计。(very good for vblast MIMO beginners)

小波分析Mallat算法经典程序，包含小波谱分析，滤波器，重构算法等。(Mallat algorithm of wavelet analysis of the classical procedures)

这是一个高斯分类算法的程序，有多种多元分类算法。(This is a gaussian classification algorithm of the program, a variety of multi-classification algorithm.)

拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)

将小波滤波方法与VMD算法结合，提取故障信息(Wavelet and VMD algorithm are combined to extract fault information)

RoboCup 3D 仿真组清华大学2005的源代码，该代码为完整中底层代码，最上层决策部分被去除Aeolus3D2005_source (RoboCup 2005) , Tsinghua University(RoboCup 2005 Group of Qinghua University's source code, The code to the bottom of code integrity, The topmost decision-making was partially removed Aeolus3D2005_source (200 RoboCup 5), Tsinghua University)