mRMR算法

说明：  matl lab programing using contolsustem

onduleur classique ........................

线性方程组的Gauss_Seidel算法求解(Linear Equations Gauss_Seidel algorithm)

saber仿真文件，开环LLC，下载后改改参数就是你自己得了(Saber simulation files, open loop LLC, download after change parameter is yourself)

说明：  高等数值分析matlab代码，迭代，函数拟合等(Advanced numerical analysis matlab code, iteration, function fitting, etc.)

关于非线性离散系统辨识，包含位置式PID算法、积分分离式PID，旋转机械二维全息谱计算。( Nonlinear discrete system identification, It contains positional PID algorithm, integral separate PID, Rotating machinery 2-d holographic spectrum calculation.)

基于MATLAB_SIMULINK交流变频调速系统的仿真研究，对spwm交流变频调速进行仿真(spwm)

《Matlab程序设计教程》的全部源代码，学习的好例子，全部是M文件！("Matlab Programming Guide" all the source code, learning a good example, all documents M!)

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!

利用matlab封装的底层模块的三种方法( 利用matlab封装的底层模块的三种方法)