effects

基于svm的数据分类预测，数据集是意大利葡萄酒种类的数据集，对葡萄酒进行种类识别以及分类。(Based on the svm data classification prediction, the data set is the Italian wine category data set, the wine species identification and classification.)

assembles the coefficient matrix for 1D finite element method

MATLAB语言工具箱-TOOLBOX实用指南，Matlab编程的得力助手。(MATLAB TOOLBOX Practical guide)

距离保护R-L模型算法 使用图基滤波器 控制阻抗轨迹显示范围 在阻抗平面画出阻抗圆特性、整定阻抗直线特性和短路阻抗轨迹( RL model algorithm for distance protection using map-based filter control the impedance locus in the impedance plane display range characteristic impedance circle draw, setting characteristics and short-circuit impedance line impedance locus)

MATLAB入门及金融经济学方面的应用，五本电子书。国外权威译本。(MATLAB entry and the application of financial economics, five e-books. Authoritative foreign translation.)

Enterprise Cloud Computing_ Technology, Architecture, Applications

任意几何形状和阵元指向性的传感器阵列优化波束形成方法(Arbitrary geometry and element directivity optimization of the sensor array beamforming 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!

此文档为QNX6.5的安装过程说明，包括QNX在vmware上的安装过程说明，特别适合第一次接触QNX的人，用于安装教学(This document is QNX6.5 installation process instructions, including QNX installation on vmware instructions, especially for QNX first contact with people, for the installation of teaching)

matlab source code for GMSK project