GA

ica a source for a detailed derivation of the formula for beginners entry can refer to a specific article.

《智能控制》第二版（刘金琨著）程序源码第二章(" Intelligent control" , Second Edition (Liu Jinkun a) program source code Chapter)

基于MATLAB的最大功率跟踪的仿真模型(The simulation model of the maximum power point tracking )

QPSK仿真系统编程。调制、信道、检测。 · 误码率仿真。 (QPSK simulation system programming. Modulation, channel detection. BER simulation.)

MATLAB 7.0从入门到精通，求是科技，人民邮电出版社(MATLAB 7.0 from entry to the master, seeking technology, Posts & Telecom Press)

a part of som for clustering muti dimensional data or big data.

control system simulink 3

model to the fixed wimax physical layer including adaptive coding and adaptive modulation and can tarsmit on ofdm or MIMO ofdm

关于图论算法的各种问题的matlab代码(Various questions about the graph theoretic algorithm of matlab code)

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)