DWT

使用Hough Transform做圓形偵測(Circle detection using the Hough Transform .)

AHP法代码，可以自动检验一致性，开发环境为matlab(AHP method code, can automatically check the consistency, the development environment for matlab)

用MATLAB软件实现带通，低通，高通滤波器的窗函数的频率响应，观察频响特点(MATLAB software band-pass, low pass, high pass filter window function frequency response, the observed frequency response characteristics)

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)

a help file for MAIO in GSm Cellular Planning

风机状态监测与故障诊断技术的研究，实时检测故障和自动排除故障(Research fan status monitoring and fault diagnosis technology，Real-time fault detection and automatic troubleshooting)

非线性误差曲面特性观察，用MATLAB实现BP网络模拟趋近(Observed non-linear error surface characteristics, network simulation using MATLAB tends to achieve BP)

一份很不错的802.11a的无线局域网仿真源码。(A very good 802.11a wireless LAN emulation source.)

matlab程序，大家好好看看ddddddddddddd(matlab program)

基于新的树编码方式用免疫遗传算法解决DCMST问题：提出了一种新的树编码方式，可以方便地表达一棵树，简化了树在遗传算法中的编码表达。且新的树编码方式清楚地表达了边的信息，有利于疫苗的设计。此外，本文使用免疫遗传算法，有效地克服了传统遗传算法中解退化的现象。数值实验表明，解的振荡相对于传统遗传算法减小了，且收敛速度更快。(New tree-based encoding genetic algorithm with immune DCMST problem: A new tree encoding, you can easily express a tree, the tree simplifies the code in the expression of genetic algorithm. And new tree encoding side clearly expressed information is conducive to vaccine design. In addition, we use the genetic algorithm can effectively overcome the traditional genetic algorithm, the phenomenon of degradation in the solution. Numerical experiments show that the oscillation of solutions with respect to reducing the traditional genetic algorithm, and the convergence faster.)