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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)

it consist of dsp programme

33节点的配电网重构程序，基于粒子群算法。相当快速。但是需要再修改源码才可以重新生成数据。(33 node distribution network reconfiguration procedures, based on particle swarm optimization. Pretty fast. But the need to modify the source code before they can re-generate the data.)

matlab潮流程序，IEEE系统详细数据及其他相关程序，很好的资料(power flow program)

matlab例程，非常好用，便以移植,bianyuxuexi(matlab routines, very easy to use, then to transplant, bianyuxuexi)

OMP算法的MATLAB实现，实验信号为X，为一模拟信号，通过正交匹配跟踪算法来实现信号的重构。(OMP algorithm of MATLAB, and experimental signal for the X, for analog signals, orthogonal matching pursuit algorithm for signal reconstruction.)

说明：  自抗扰控制器Simulink仿真，其中包含跟踪微分器，扩张状态观测器，非线性反馈。(Simulink simulation of active disturbance rejection controller, including tracking differentiator, extended state observer, nonlinear feedback.)

pca进行特征提取源码，用matlab语言编写，pca即主成分分析(pca source for feature extraction using Matlab language, pca that Principal Component Analysis)

抛物线法求解 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定.(parabolic equation method Construction Methods : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)

helps to detect ECG QRS wave source and calculates beat rate using wavelets and can be used to achieve accurate detection of QRS waveform