Liu

该算法是用于量子运算的matlab程序源码码，包含声称量子态，量子寄存器等 可直接使用。 (The algorithm is used for quantum computing matlab program source code contains the claim that quantum states, quantum register can be used directly.)

INTRODUCTION TO MECHATRONICS SYSTEMS

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 )

Stepwise least squares estimation of multivariate AR model

基于卷积信号的MIMO系统盲信号估计，运用卷积的方法进行盲信道估计(Convolution-based MIMO system, blind signal signal is estimated using the method of convolution-blind channel estimation)

说明：  捷联惯导系统传递对准MATLAB程序，固定点平滑新算法。(SINS MATLAB transfer alignment procedures, the new fixed-point smoothing algorithm.)

CO-KRIGING WITH RANDOM METHOD. 随机结合克里金方法。在地学中有很大的应用潜力，比如建模及矿物分布估计。(a variant of cokriging, in which the mean values of the vector components are related by linear combinations with known coefficients. Equations for the cokriging predictor and for the variance–covariance matrix of prediction errors are presented. A set of computer programs is provided and illustrated with applications to mineral resources evaluation, in which the proposed cokriging variant compares favorably with traditional approaches.)

VC++中使用Matlab进行数据操作，里面进行了详细介绍，附源代码。(VC++ using Matlab for data manipulation, which is described in detail, with source code.)

Matlab 颜色的使用 colorbar colormap(Matlab use of colour)

adaptive volterra RLS filter