00668163

OFDMA系统上行链路频偏估计得仿真代码。(Frequency Offset Estimation for OFDMA uplink system simulation code was.)

2. 设 是窄带信号，定义 是在 区间上均匀分布的随机相位。 是寬带信号，它是一个零均值、方差为1的白噪音信号e(n)激励一个线性滤波器而产生，其差分方程为 。 1） 计算 和 各自的自相关函数，并画出其函数图形。根据此选择合适的延时，以实现谱线增强。 2） 产生一个 序列。选择合适的 值。让 通过谱线增强器。画出输出信号 和误差信号e(n)的波形，并分别与 和 比较。 (Computer Experiments: 1. Consider an AR process x(n) defined by the difference equation where v(n) is an additive white noise of zero mean and variance .The AR parameters and are both real valued: a) Calculate the noise variance such that the AR process x(n) has unit variance .Hence , generate different realization of the process x (n). b) Given the input x (n), an LMS filter of length M = 2 is used to estimate the unknown AR parameters and . The step size is assigned the value 0.05. Compute and plot the ensemble average curve of and by averaging the value of parameters and over an ensemble of 100 different realization of the filter. Calculate the time constant according to the experiment results and compare with the corresponded theoretical value. c) For one realization of the LMS filter, compute the prediction error And the two tap-weight errors and Using power spectral plots of , show that)

Correlated noise generator (MatLab function)

这本书针对MATLAB编程的浅显的讲解，比较适合初步开发者的思路。(This book for MATLAB programming facile explanations, more suitable for the initial developer of thinking.)

国外牛人写的聚类算法，是k-means算法的升级版(Written by foreign cattle clustering algorithm, k-means algorithm is an upgraded version of)

说明：  关于matlab的一些语句讲解说明，包括最常用到得(On a number of statements on matlab, including the most commonly used were)

编写的数值分析power方法matlab程序(numerical method for power method )

this projectdescribed about smart antenna

Image Enhancement. Takes lenna image as input, applies low pass filter, median filter, weighted and center weighted median filter. Plots the output for each image

编程序给出线性burgers方程解析解 条件：-10<x<10,正三角形位于-0.5 <x <0.5 u和c测试几个数据(Programmed to give a linear analytical solution burgers equation Conditions:-10 <x <10, equilateral triangle at-0.5 <x <0.5 u and c test several data)