program15_ofdm_pilot_estimation

Berger algorythm heart rate variability by me(Eegii33)

说明：  元胞自动机18个代码合集，全部可运行，包括森林火灾、交通流、生命游戏等(18 code set about Cellular automata , all can run, including forest fire, traffic flow, life games, etc)

一些matlab学习中间比较常用的课后练习的源代码程序。(Some among the more common learning matlab exercises the source code program.)

intelligent control notes

无线传感器网络中 计算代价的描述与实现，计算次数的编码(Description and Implementation of wireless sensor networks computational cost, calculate the number of coding)

MIMO-OFDM系统的VBLAST使用MATLAB编程(MIMO-OFDM system using the MATLAB programming VBLAST)

说明：  二维梁单元有限元分析，包中有详细的WORD文档说明(Two-dimensional finite element analysis of beam elements, including the documentation detailed WORD)

利用二元域的高斯消元法得到输入矩阵H对应的生成矩阵G，同时返回与G满足mod(G*P ,2)=0的矩阵P，其中P 表示P的转置 使用方法：[P，G]=Gaussian(H,x)，x=1 or 2,1表示G的左边为单位阵(binary domain PGE law input matrix corresponding to the formation of H matrix G, Meanwhile the return of mod meet with the G (G* P, 2) = 0 matrix P, which said P P switch home use : [P, G] = Gaussian (H, x), x = 1 or 2,1 G said the left side of the RUF unit)

ICA Clustering In computer science, Imperialist Competitive Algorithm (ICA)[1] is a computational method that is used to solve optimization problems of different types. Like most of the methods in the area of evolutionary computation, ICA does not need the gradient of the function in its optimization process. From a specific point of view, ICA can be thought of as the social counterpart of genetic algorithms (GAs). ICA is the mathematical model and the computer simulation of human social evolution, while GAs are based on the biological evolution of species

模拟退火算法求解TSP问题算例（两点交换）(Simulated Annealing for TSP problem)