OFDMWork20131105

自己编程实现dwt的功能，基本上不使用matlab函数(Programming dwt own functions, basically do not use matlab function)

说明：  matlab 直接序列扩频中对于高斯白噪声的抗干扰仿真仿真程序(matlab in direct sequence spread spectrum interference for the simulation of Gaussian white noise simulation program)

一个matlab的将军模型，互联网上很难查询到，希望对matlab初学者有所帮助(a general Matlab model, the Internet is difficult to find. Matlab hope to help beginners)

这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书(Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book corresponding implementation procedures, there is a good understanding of the book talking about the theory help group, this book is to learn sparse coding and compressed sensing a very good book)

speech recognition, br recognition

用最大释然估计进行频率估计，并计算可拉美罗下界，通过蒙特卡罗实验进行计算。( Relieved estimates with the greatest frequency estimation and Latin Rao lower bound can be calculated by Monte Carlo experiments calculated.)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(clear all clc List0= E:DOA估计仿真 List00=[ 2013-10-31_12_44_31 ] for Li=1:1 List1=strcat(List0,List00(Li,:), Data ) In_p=[List1, ChanData ] 输入数据目录 Out_p=strcat([List1, DataDOA ]) 输出数据目录 NLen=10000 分段长度 M=16 r=15 c=299792458 List=List1(end-19:end-1) 选择目录 if(~exist(Out_p, )) mkdir(Out_p) end )

基于电网电压定向的逆变器并网simulnk图，正确的可以运行。(Based on the orientation of the grid voltage inverter grid simulnk map, you can run correctly.)

ＲＬＳ自适应均衡仿真程序．采用多级抽头，有信噪比(RLS adaptive equalizer simulation program. Multi-level tap, has signal to noise ratio)

计算任意两点（给定经纬度）的球面距离，并画出轨迹图。(Calculating any two points (given the latitude and longitude) of the spherical distance, and draw trajectories.)