psm

正弦信号 重复控制器 简单的matlab重现(Repeat simple sinusoidal signal controller matlab reproduce)

machine learning 方面有关于Bayesian Regression的资料，语言是python(There are aspects of machine learning Bayesian Regression information about language is python)

svm matlab工具箱，经过测试，非常好用！有界面。(svm matlab toolbox, tested, very good! Interface there is.)

实现了图象匹配的功能，是很不错的编程范例，希望大家会喜欢。(the images matching functions, is a very good example of the programming, I hope you will like.)

skin tone hide data in stegnography

七单元天线阵MUSIC DOA估计： d=1 ， 天线阵元的间距； lma=2， 信号中心波长； 四输入信号； A=[A1,A2,A3,A4]， 得出A矩； 四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号 总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值 取出与零特征值对应的特征矢量 求协方差矩阵的逆矩阵 应用Music法估计输出 绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* ⁢ sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues ​ ​ characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)

MATLAB的经典课件，包括矩阵运算，m文件，函数调用等等(MATLAB classic courseware, including matrix operations, m file, function calls, etc.)

一份用matlab7.0编写的mc算例，希望有大的帮助(Prepared using a matlab7.0 example mc, I hope there is a big help)

cst fem matlab code lh l lfhlgdhlkf g hdlk gh lkdgh lkdfhlkg dhflkghdflhg ld

应用于系统辨识中，增广最小二乘法辨识程序的m文件。(System identification, augmented least squares identification procedure m files.)