pso

“基于Matlab的MIMO通信系统仿真”，，收获良多，特将其记录下来("Simulation of MIMO Communication System Based on MATLAB", which has gained a lot, is specially recorded.)

说明：  MATLAB 7.0基础教程，不错的一本书。要用超星数字图书馆看，挺有用的(MATLAB 7.0 Essentials, a good book. Use Chaoxing Digital Library of view, quite used)

由于PSO工具箱较难开发出多目标优化，采用MATLAB编写程序，得出VPPSO的源代码，进行优化设计，效果不错，希望和大家一起学习，共同进步(The PSO toolbox more difficult to develop a multi-objective optimization using MATLAB program, to draw VPPSO the source code, optimized design, good results, and we hope that with learning and common progress)

matlab实现Arnold置乱的程序,对初学者有用(matlab Arnold matlab Arnold)

zig-zag code for beginner

我本科毕业设计时研究用的遗传算法解决TSP问题，matlab版本的(I graduated with the design of genetic algorithm to solve TSP problem, matlab version)

层次分析法的自动实现算法基于matlab，代码如文件(Automatic algorithm based on the Analytic Hierarchy Process matlab, code such as file)

a figure to m file converter

vc下如何使用matlab,各种不同方法的介绍 还算详细吧 加油啦大家一起努力(vc matlab)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.