qpsk_ber

两个重要文件： 1、Rayleigh_Doppler_singlePath.m 产生单径Rayleigh衰落，采用了6种方法并进行了比较，推荐使用第6种方法； 2、Rayleigh_Doppler_multiPath.m 根据多条径的延时和强度，产生频率选择性衰落； 在单径和多径两个程序中，均提供了其功率谱的输出代码； (Two important documents: 1, Rayleigh_Doppler_singlePath.m to generate a single path Rayleigh fading, using six kinds of ways and compared, 6 recommended methods 2, Rayleigh_Doppler_multiPath.m under a number of path delay and intensity, resulting in frequency selective fading in both single path and multi-path process, provide the output of its power spectrum code )

闭环充电机仿真图，看了这图你就会做充电机了。(Closed-loop simulation charts charger, read this plan you will do a charger.)

经典capon算法doa估计, 波达方向估计算法,空间角度分辨率有限,简单有效的算法(capon classicdoa estimation algorithm , simple DOA estimation algorithm, space limited angular resolution)

说明：  本程序是用来进行运动估计的全搜索块匹配方法(This procedure is used for motion estimation of the full search block-matching method)

Hello world application. This application automatically prints "Hello World"

Line Detectio Line Detectio Line Detectio

需求预测算法,时间序列中移动平均算法.matlab编写,代码全. 待整理(Demand forecasting algorithm, time series moving average algorithm Matlab to write code for the whole to be processed)

直角坐标系下的单雷达kalman滤波，实现直角坐标系下单部雷达对目标的跟踪。(The single radar Kalman filter in Cartesian coordinates in the Cartesian coordinate system, place an order of radar target tracking. )

本文对倒立摆系统的Lagrange方程建模与模糊控制进行了简单介绍(In this paper, the inverted pendulum system Lagrange equation modeling and fuzzy control for a simple introduction)

下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序：thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data(thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data)