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说明：  Matlab做的关于三角波，正弦波，方波的FFT算法，可以分析方波信号、三角波信号的频谱以及采样点数、采样频率对频谱分辨率的影响。(Matlab to do on the triangle wave, sine wave, square wave of the FFT algorithm, can be analyzed square-wave signal, triangular wave signal of the spectrum as well as the sampling points, the sampling frequency affect the resolution of the spectrum.)

CounterV3.2（非零坊统计 v3.2）(CounterV3.2 (non-zero Square Statistics v3.2))

Reweighted Lp algorithm

系统辨识与自适应控制 最小二乘辨识算法增广广义最小二乘算法(System identification. algorithm for the augmented generalized least squares)

遗传算法工具箱，英国谢菲尔德大学有一套自己的遗传算法工具箱，比MATLAB默认功能强大一些(Genetic algorithm toolbox, the university of Sheffield has its own genetic algorithm toolbox, MATLAB default powerful than some )

在matlab中HHT的应用,非常非常非常非常棒(In MATLAB, the application of HHT is very, very, very, very good)

S-MAC implementation for Omnet++

东大研究生数值分析上机题，包括牛顿法，高斯算法，逐次超松弛迭代法，3次样条插值，RK4法等函数。(The numerical analysis exercises by computer of southeast university,including Newtons law,Gauss algorithm,SOR,3 times spline interpolation,RK4,etc. )

基于智能控制的开关磁阻电动机调速系统 对开关磁阻的前景进行的分析(very useful)

包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题(Include: using the particle swarm algorithm for unconstrained optimization problems, with compression factor of particle swarm algorithm for solving unconstrained optimization problem with linear decreasing weight particle swarm optimization for unconstrained optimization problems, an adaptive weight particle swarm optimization unconstrained optimization problems, random weight particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor synchronous change of particle swarm optimization algorithm for unconstrained optimization problems, with the learning factor asynchronous changes in particle swarm optimization algorithm for solving unconstrained optimization problem , with the second particle swarm optimization for unconstrained optimization problems, with the second-order oscillating particle swarm optimization algorithm for unconstrained optimization problem)