DETREND

多径衰落信道模型源代码，用于无线移动信道建模。(Multipath fading channel model source code, used in wireless mobile channel modeling.)

FDTD程序关于一维时域有限差分法（分层介质，反射，透过系数-FFT）(1-D FDTD code with simple radiation boundary conditions)

多维小波变换工具箱 V1.0 作者：陈甫 作者email: chen_fu@263.net 论坛: mathworld.yeah.net(V1.0 of multi-dimensional wavelet transform toolbox: Chen Fu of email: chen_fu@263.net Forum: mathworld.yeah.net)

关于常规脉冲多普勒地面雷达的杂波建模与仿真(On the conventional pulse Doppler radar ground clutter Modeling and Simulation)

long line model for 3phase system

该程序是由matlab程序编写的，可实现机器人的反演控制的仿真分析。(The program is written by matlab program, enabling simulation of robot control inversion.)

三维重构计算空间距离，在图像匹配后计算得到。(Three-dimensional reconstruction calculated distance, the images calculated after matching.)

信号处理常用程序，中值滤波，提供给信号处理初学者的matlab编程。(Common signal processing procedures, the median filter)

说明：  本代码是由matlab实现蔡氏电路的混沌仿真，采用的是四阶龙格-库塔方法，比较简便。(This code is a matlab implementation of the chaotic Chua' s circuit simulation, using a fourth order Runge- Kutta method, more simple.)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)