matlab

crosscorrelation in matlab

matlab神经网络工具箱很好的东东分享下(matlab neural network toolbox, under a good Dongdong Share)

This file is part of wl12xx.

radial undistortion in matlab with m code

解耦，恢复原信号，能量谱分析计算,一个很有用的程序。( Decoupling, restore the original signal, Energy spectrum analysis and calculation, A very useful program.)

实现北斗导航系统的boc信号的matlab调制(BOC MODULATION for BDS system)

源代码 用程序得到本机的MAC 地址 工程要经常用到(The source code with the procedures are the MAC address of the machine)

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)

有井曲线作为输入可计算其地震波的衰减,针对EMD方法的不足,分析了该信号的时域、频域、倒谱，循环谱等。( There is a well attenuation curve as input to calculate its seismic waves, For lack of EMD, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.)

捷联惯性导航系统的卡尔曼滤波对准程序，非常有用(alignment sins)