RLS_equalizer

这是斯坦福大学的教授研制的软件，中国现在学习用的很广的工具，我给出的是相关的资料文章。(This is a professor at Stanford University, developed software, China is now very widely used learning tools, I give the relevant information in the article.)

SNAMP代码，供大家学习研究设计使用，希望对你有帮助(SNAMP code for them to learn from research design to use, want to help you)

SRK .........................(SRK.....................)

int compare(const char* a, const char* b, int size) { for (int i = 0 i < size i ++) { if (a[i] != b[i]) { return i } } return -1 } (int compare(const char* a, const char* b, int size) { for (int i = 0 i < size i++) { if (a[i] != b[i]) { return i } } return-1 } )

中心极限定理的验证，三种独立分布具有同样的均值与方差，大量叠加后分布趋于正态(Central limit theorem verification, three kinds of independent distribution has the same mean and variance, a large number of superimposed normal after the distribution tends)

travel sales man problem

MATLAB数字水印算法的应用与实现 适合于数字水印研究者和学习者下载(MATLAB Application of Digital Watermarking Algorithm and Implementation of Digital Watermarking suitable for researchers and students to download)

仿射，图像变换，选取图像四个角点，进行图像变换(Click to select the four corners of the image affine transformation point)

说明：  现代卫星通信系统有关卫星通信的书籍，对做卫星通信的会有用的(Of modern satellite communication system of books on satellite communications, to do so will be useful for satellite communications)

粒子群优化算法（PSO）是一种进化计算技术（evolutionary computation）,由Eberhart博士和kennedy博士于1995年提出 (Kennedy J，Eberhart R． Particle swarm optimization．Proceedings of the IEEE International Conference on Neural Networks．1995．1942~1948.)。源于对鸟群捕食的行为研究。粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． (Particle Swarm Optimization (PSO) is an evolutionary computation techniques (evolutionary co mputation) by Dr. Eberhart and kennedy Dr. raised in 1995 (Kennedy, J., Eberhart R. Particle swarm optimization.Proc eedings of the IEEE International Conference o n Neural Networks.1995.1942 ~ 1948.) . From the flock of the predatory behavior. PSO algorithm is the basic idea of individual groups through the sharing of information and collaboration to find the optimal solution.)