Track-red-object

A paper that I presented on Supervisory Control and Data Acquisition (SCADA) won the second prize at the symposium conducted by the Electrical and Electronics Engineering department of the SRM University. Other topics on which I presented papers were Performance enhancement of wireless sensor networks using directional antennas, Smart card application and wireless communication. Also my research idea titled “Wavelet Based Image Compression Using SPIHT Algorithm “secured third prize in a technical festival.

fdtd 的matlab GUI编程，一维（MUR吸收边界）二维三维集合(fdtd the matlab GUI programming, one-dimensional (MUR absorbing boundary) a collection of two-dimensional three-dimensional)

matlab GUI编辑的很好讲解，对初学者很有帮助的文档(matlab GUI，helpful to the newer)

扩频技术和cmda技术结合相结合进行通信系统的仿真(Cmda spread spectrum technology and communication technologies combining system simulation)

VC和Matlab混合编程总结 VC和Matlab混合编程总结(VC and Matlab programming concluding mixed mixed VC and Matlab programming summary)

对输电线路进行完全分析和补偿，主要是输电线路的演示程序(On transmission lines are fully analyzed and compensation, mainly is the transmission line demo)

一种在线SVM的实现，通过样本的取舍，我们可以将SVM运用动态建模当中（得有SVM工具箱的支持），该源码中包含有SVM工具箱和在线SVM的源程序(an online SVM achieved through the choice samples, SVM we will be able to use dynamic modeling them (SVM in a toolbox support) The source code contains SVM toolbox and online source SVM)

数值模拟了一类重要的超导器件Josephson结满足的方程。整个程序用matlab编成。(numerical simulation of an important class of superconducting Josephson junction device to satisfy the equation. The whole process into using Matlab.)

详细介绍MATLAB线性矩阵不等式(LMI)的应用过程，实例丰富，上手较快！(Details MATLAB linear matrix inequality (LMI), the application process, examples of rich, to get started faster!)

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!