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《navigaiton signal processing for gnss》一书的源代码，对于gps开发非常实用(《Navigaiton signal processing for gnss》 books source code, very useful for the development gps)

用有限差分模拟高斯脉冲在自由空间传播，运行该脚本，你会得到一个表面，它是由脉冲在1微米的步骤传播。 (Using the finite difference simulation of Gaussian pulse propagation in free space, run the script, you will get a surface, it is spread by the pulse in steps of 1 micron.)

模糊逻辑控制仿真源代码,希望对大家有帮助(fuzzy logic cntrol Matlab simulation source code)

本实验将使用MATLAB 7.0软件分别对20钢的离子渗碳和气体渗碳过程进行模拟，渗碳时间分别为1h、2h、8h、20h，渗碳温度分别为1203K、1223K、1273K、1323K。对20钢的其中一面进行一维气体渗碳，设该扩散系数和界面传递系数均与渗碳浓度无关，对渗碳厚度、渗碳速度、渗碳量和渗碳时间、渗碳温度的关系进行模拟。(In this study, using MATLAB 7.0 software 20 steel ion carburizing and gas carburizing process simulation, carburizing time were 1H, 2H, 8h, 20h, carburizing temperature of 1203K, 1223K, 1273K, 1323K. 20 steel one side of a one-dimensional gas carburizing, set the diffusion coefficient and interface transfer coefficient has nothing to do with the concentration of carburizing, the relationship of the thickness of the carburizing, carburizing speed, carburizing and carburizing time, carburizing temperature simulation.)

Thomas Minka 编写的适用于Bayesian Point Machine，Expectation Propagation计算的matlab工具箱。对科研人员很有价值。 (This toolbox implements the EP algorithms described in Thomas Minka s thesis and UAI paper.)

控制点操作的图像变形 matlab实现 在图像上标注若干个控制点，再按回车后再标注希望这些点变形到的位置，则这些点会牵动这张图像相应变形(deformation with control points)

用C语言实现matlab中dwt的功能，一层(Using C language dwt functions in matlab, a layer of)

利用matlab计算copula函数的代码及程序，希望可以给大家带来帮助(Copula function calculated using matlab code and procedure, hoping to give us help)

Yen 算法求解最短路径 附加测试代码 例程(Yen shortest path algorithm)

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!