GSM

卡尔曼滤波的实质是由量测值重构系统的状态向量。(Essence of the Kalman filter is measured by the value of reconfigurable system state vector.)

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)

图像边缘检测LoG，DoG方法实现，还有图像的低通滤波(LoG and DoG for image edge detection, including lowpass filter)

本程序是关于fdtd磁场计算相关的，经过调试成功，希望大家多多参考并提建议(pmlfdtd)

说明：  用PSO算法对PID参数进行整定,对P、I、D三个参数进行合适值选择(Tuning PID parameters with PSO algorithm)

string tokeniser using c language

说明：  实现SVM matlab实现。。源于毕业设计(Achieve SVM matlab implementation. . Graduation from)

MIMO-OFDM系统中不同信道估计的对比程序(MIMO-OFDM system comparison of different channel estimation procedures)

Variational inference for Bayesian variable selection

主要是将MIMO-OFDM系统中的空时分组码与MIMO系统中的空时分组码进行对比，着重突出MIMO-OFDM的优点。(Mainly in the MIMO-OFDM systems with space-time block codes in MIMO systems space-time block codes are compared to highlight the advantages of MIMO-OFDM. )