ruilixindao

随机固定求和函数，里面附有具体的应用讲解，可参考。(Random fixed sum function, which accompanied the application of specific explanations, can be found.)

稀疏表示经典著作 John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009的程序(# impFaceRecognition A Matlab implementation of Face Recognition using Sparse Representation the original paper: John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009. In our implementation, we propose a Multi-scale Sparse Representation to improve the performance compared to the original paper. If you use our code, please cite the paper: Multi-scale Sparse Representation for Robust Face Recognition )

支持向量机(SVM)实现的分类算法源码[matlab] (Support Vector Machine (SVM), a classification algorithm source code [Matlab])

自适应控制算法，MRAC，matlab中simulink仿真源代码以及ppt讲解。是自适应控制必不可少的资料(Adaptive control algorithms, MRAC is, Matlab simulink simulation source code, and explain ppt. Information essential for adaptive control)

很好的应用于彩色图像边缘检测 (Well applied to the color image edge detection)

PLL锁相环的搭建，通过坐标变换实现锁相(PLL Phase-Locked Loop)

我写的重要代码,一个关于matlab，制作用户界面的程序，很好的学习代码(IT IS VERY USEFUL， about the matlab and other languages.it is very useful.On matlab, the production of user interface procedures, good learning code)

ultimate co pvp.. souce c#

这是一道很基本的程序，一方面希望它对初学遗传算法的兄弟们有用（包含了遗传算法实现的大部分步骤，而且有详细的注释），另一方面旨在抛砖引玉， 在下浅见： 1、遗传算法在进行大规模计算时，数据交换量大，速度确实是一个瓶颈，就如这道程序，在种群规模50，进化代数1000时运行需要40秒左右(cpu:duron 1G),当然，小弟编程能力弱，望各位大侠指教啊，或帮我修改一下这道程序 (This is a very basic procedure, While they want it beginner GA brothers useful (including the genetic algorithm to achieve the most steps and a detailed note), on the other hand aims to attract the next suggestions : 1. GA conducting large-scale calculations, the data exchange capacity, speed is a bottleneck, as this practice. 50 in population size, the evolution of algebra required for the operation of 1000 when about 40 seconds (cpu : duron 1G), Of course, the younger programming weak, and hopes to enlighten ah Shanhaiguan, or help me rephrase this practice)

matlab6.5下写的三类问题的基于最大最小聚类方面写的聚类程序(matlab6.5 wrote under the three categories based on the largest area was the smallest cluster clustering procedure)