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Matlab Assignment describing sampling,histogram,cdf,pdf,autocorrelation and crosscorelation,finding of mean and variance using matlab.It also contains FPGA tutorial of LED blinking project design and State Machine Design with their solutions.

说明：  //实现K-means聚类算法 //包括main.m、distance.m、randCent.m、kMeans.m等四个matlab文件 //以及测试数据集(//Implementation of K-means clustering algorithm // including four matlab files: main.m, distance.m, randCent.m, kMeans.m, etc. //And test data sets)

solution of nonlinear equations matlab

雷达方程的产生程序，如已知发射功率、噪声系数、天线截面积等雷达参数(The radar equation generator, such as known to transmit power, noise figure, antenna cross-sectional area of radar parameters)

应用Matlab采用Galerkin法求解偏微分方程(Galerkin method for solving partial differential equations by matlab)

计算PSNR。可直接调用，两个输入参数im1,im2为两个图象序列，返回值为PSNR的值。(Calculation of PSNR. Can be called directly, two input parameters im1, im2 two image sequences, the return value is the PSNR.)

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 )

此程序为Turbo编码的程序，用Matlab编程实现(Matlab program for turbo code)

matlab从入门到精通书籍的全部源代码，内容详细，可学性高(matlab from entry to the proficient books full source code, detailed learnability)

用蒙特卡洛方法求方程根的通用程序。可通过直接调用求解。(common code to solve equation through mont carlo method.)