matlqbNLMS

Elman神经网络回归模型，GA优化权值阈值(Established a regression model by Elman, GA was used to optimizied weigth and threshold)

program to resize multiple photos in direct directory

fMRI算功能网络。输入资料为90个AAL脑区的BOLD均值，输出为二值网络(fMRI count function network. The input data for AAL 90 brain regions the BOLD mean, output binary network)

matlab模拟大气湍流相位屏,实现湍流相位屏的模拟(matlab simulation of atmospheric phase screen simulation of turbulent phase screen)

这是一个特殊的 matlab 代码为坐求解 tsp 问题的蚁群算法求解 berlin52 这种算法使用导入数据读取文本的距离和位置的城市和 excel 文件，然后使用蚁群算法

The main idea behind this book, and the incentive for writing it, is that strong connections exist between adaptive filtering and signal analysis, to the extent that it is not realistic—at least from an engineering point of view—to separate them. In order to understand adaptive filters well enough to design them properly and apply them successfully, a certain amount of knowledge of the analysis of the signals involved is indispensable. Conversely, several major analysis techniques become really efficient and useful in products only when they are designed and implemented in an adaptive fashion. This book is dedicated to the intricate relationships between these two areas. Moreover, this approach can lead to new ideas and new techniques in either field.

Matlab7.0基础教程，适合新手的参考资料。(MATLAB7.0 course book)

使用Scilab编写的粒子群算法，例子比较简单，无混沌搜索(Scilab prepared using particle swarm optimization, for example, relatively simple, non-chaotic search)

linear regression algorithm

MATLAB中用m文件实现卡尔曼滤波算法(M file implementation using MATLAB Kalman filter algorithm)