ds

my experiments which are very useful

一份完整的Matlab编写BPSK信号通过AWGN信道仿真过程的程序,有注释(Matlab BPSK signal through AWGN channel simulation program)

说明：  function [bestsole,bestpop]=ga_scomplex(num,bounds,ps,pc,pm,b,dtc) % GA＿scomple是基于浮点编码的单纯形遗传算法主程序 % num定义种群数量 %　bounds定义参数取值范围，格式为[Var1min,Var1max;Var2min,Var2max;…….]; %ps选择概率 %pc交叉概率 %pm变异概率 %b　变异程度系数 %dtc　迭代次数 % $Date: 2005/5/25 $(funzione [bestsole,bestpop]=ga _scomplex (num,limites,ps,pc,pm,b,dc) % GA 655343;scomple;;;;;; % num % limits23450;[Var1min,Var1max;Var2min,Var22min;;;;;]; %ps %pc %pm %b _ %dtc _ % $Data: 2005 /5 /25 $)

说明：  高斯消去法和高斯列主元消去法以及解线性下三角形方程组(Gaussian elimination and principal component Gaussian elimination and the solution of linear triangular equations)

Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence. To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m. To run on individual video, you need to modify the dataPath and title in run_individual.m. If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!

三相电路谐波及无功电流检测Matlab/Simulink仿真模型(Harmonic and reactive current detection)

一种音频水印攻击方案，加入噪声并进行比较(An audio watermarking attack scenarios, adding noise and compare)

Image interpolation using bilinear method

永磁同步电机直接转矩控制matlab仿真，采用滞环控制和开关表，不是SVM-DTC(Permanent Magnet Synchronous Motor Direct Torque Control matlab simulation, using hysteresis control and switch tables, not SVM-DTC)

IS95 前向物理链路的系统仿真程序(IS95)