readmcml

ICA算法演示，给出了ICA算法实现的具体程序。 还有几张实验结果的截图(ICA algorithm demo, given the specific procedures implemented by the ICA algorithm. There are a few screenshots of the experimental results)

This file enables symbolic computation of Zernike polynomials. The usage should be straightforward. Have fun.

BER with Viterbi decoder

Saturatec reactor simulation in matlab code

非常好的一本Matlab与控制结合起来的电子书，值得珍藏！(Very good a combination of Matlab and control of e-books, worthy of treasures!)

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

redes neuronales back-propagation

This code is about migration of seismic data.

matlab程序，四种不同的信号，在4个区域显示(matlab program, four different signals, in the four regions showed)

遗传算法的标准MATLAB程序，共有12个子m文件(Standard genetic algorithm MATLAB program, a total of 12 sub-m file)