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用MATLAB编写，采用som网络，来进行归类（随机初始权值）(Written with MATLAB, using som networks to classified (random initial weights))

提供了两种一维内插法，基于多项式的内插法和基于FFT的内插法。命令interpft可进行基于FFT的内插法。样本插值的源程序。(Offers two one-dimensional interpolation method, based on polynomial interpolation and FFT-based interpolation. FFT-based command interpft to the interpolation method. Sample interpolation of the source.)

说明：  在单径瑞利信道中，请设计一种时分的导引辅助的信道估计方法，用Simulink进行仿真，测量BPSK的误码率性能，画出比特信噪比与误码率的关系曲线( in a single path Rayleigh channel, please design a secondary peak guide channel estimation method, the Simulink simulation, BPSK BER performance measurement, signal to noise ratio and bit error rate to draw the relationship between curve)

说明：  认知条件下干扰问题的优化，次用户对于主用户的干扰尽量减小(Cognitive interference under the conditions optimized for secondary users to minimize interference with primary users)

这个是惯性导航初始对准以及导航解算中常用的子程序(This is the inertial navigation initial alignment and navigation solver subroutine)

matlab对于大矩阵的简单求解，初学者可参考(Solving simple matlab)

粒子群算法（PSO）优化的径向基函数（RBF）神经网络算法(Radial basis function (RBF) neural network algorithm optimized by particle swarm optimization (PSO) algorithm)

“基于Floyd最短路算法的Ford和Fulkerson迭加算法”的最小费用最大流算法，其基本思路为：把各条弧上单位流量的费用看成某种长度，用Floyd求最短路的方法确定一条自V1至Vn的最短路；再将这条最短路作为可扩充路，用求解最大流问题的方法将其上的流量增至最大可能值；而这条最短路上的流量增加后，其上各条弧的单位流量的费用要重新确定，如此多次迭代，最终得到最小费用最大流。 (" Floyd shortest path algorithm based on the Ford and Fulkerson algorithm superposition" of the minimum cost maximum flow algorithm, the basic idea is: the flow of each arc on the unit cost as a length, with Floyd for the most short-circuit method to determine a from V1 to Vn of the most short-circuit then this can be expanded as the shortest way, by solving the maximum flow of traffic on the way to its maximum possible value and this increased the flow of the shortest path, on which the arcs of the unit to re-determine the cost of traffic, so several iterations, finally get the minimum cost maximum flow.)

一个适用于Matlab的随机抽样一致算法(RANdom SAmple Consensus,RANSAC)工具箱(RANSAC(RANdom SAmple Consensus)Toolbox for Matlab)

A Book published in 2010 on error control coding using matlab(A practical guide to error-control coding using matlab)