AIC

说明：  用频域和时域的方法分别来算光子晶体光纤的一篇文章(With the frequency domain and time domain methods to balance the respective article in photonic crystal fiber)

用于灰色预测,在很多预测问题中用，但是效果不一定能用于所有模型。(Used for prediction, used in many prediction problems, but the effect may not be used for all models.)

gauss-seidel算法实现对方程组的求解(gauss-seidel algorithm for the equations)

说明：  盲源分离FastICA、matalab程序，(FAST KERNEL ICA | |--------------------| Version 1.0- February 2007 Copyright 2007 Stefanie Jegelka, Hao Shen, Arthur Gretton This package contains a Matlab implementation of the Fast Kernel ICA algorithm as described in [1]. Kernel ICA is based on minimizing a kernel measure of statistical independence, namely the Hilbert-Schmidt norm of the covariance operator in feature space (see [3]: this is called HSIC). Given an (n x m) matrix W of n samples from m mixed sources, the goal is to find a demixing matrix X such that the dependence between the estimated unmixed sources X *W is minimal. FastKICA uses an approximate Newton method to perfom this optimization. For more information on the algorithm, read [1], and for more information on HSIC, refer to [3]. The functions chol_gauss and amariD are taken from and based on, respectively, code from Francis Bach (available at http://cmm.ensmp.fr/~bach/kernel-ica/index.htm). The derivative is com)

fixed point iteration for finding roots

fft2-antropy-convolve -covariance

Fisher LDA 实现了FisherLDA，大家可以看看，参考下。(Fisher LDA implementation, a simple demo o f patter recognition)

说明：  运用matlab环境实现无线传感器网络leach协议的改进(Environments using matlab leach protocol for wireless sensor networks to improve)

完整的RS编译码仿真程序，基于matlab仿真实现(integrity of the RS encryption simulation program, based on Matlab Simulation)

说明：  多智能体系统中二阶情况，有一个领导者四个跟随者(In the second-order case of multi-agent system, there is one leader and four followers)