CMA

Particle swarm optimization algorithm

In this Program, we design PID controller for Control of AUV depth. AUV is Automatic Underwater Vehicle that use in Underwater action and Control of its Depth is important.

灰色预测模型,已在软件上调试通过，用户需要自定义一个data文件(gray model)

source code for gausian mixture model

粒子滤波器是基于序贯Monte Carlo仿真方法的非线性滤波算法,可以解决所以线性，非线性问题。(Particle Filter is based on sequential Monte Carlo simulation method of nonlinear filtering algorithms, can be solved so linear, nonlinear problems.)

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LMI求解问题的简单例子，较为详细的阐述了线性矩阵不等式的工作求解过程(LMI solving problems in a simple example, described in more detail the work of LMI solving process)

Matlab版俄罗斯方块，个人一直认为，这个游戏或者说这个程序很经典！ 如果你能掌握这个程序，你对Matlab的外功已经不成问题，回家修炼一下内功，就能毕业了！！ 不说别的，先来玩玩，别忘了把音箱打开！感受儿时的乐趣 程序作者：Pascal Getreuer (Matlab version of Tetris, individuals have always thought that this game or that the program was classic! If you can master this program, you have no problem Matlab' s external work, home practice about internal strength, we can graduate! ! If nothing else, the first to play, do not forget to turn on speakers! Experience the fun process of childhood: Pascal Getreuer)

求解平面势流下的圆柱绕流问题，基于MATLAB的有限元法编程。(cylinder，finite elements method)

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!