rcwa_Palik_SiO2

说明：  根据自适应模糊控制原理，设计自适应律，并设计simlink主程序和控制器S函数，对机器人单臂机械手进行自适应模糊控制。(fuzzy adaptive control )

说明：  matlab程序模拟微分方程。各种流行的系统显示混沌运动特征。(This toolbox contains the functions which can be used to simulate some of the well-known fractional order chaotic systems, such as: - Chen s system, - Arneodo s system, - Genesio-Tesi s system, - Lorenz s system, - Newton-Leipnik s system, - Rossler s system, - Lotka-Volterra system, - Duffing s system, - Van der Pol s oscillator, - Volta s system, - Lu s system, - Liu s system, - Chua s systems, - Financial system, - 3 cells CNN. The functions numerically compute a solution of the fractional nonlinear differential equations, which describe the chaotic system. Each function returns the state trajectory (attractor) for total simulation time. )

cofdm simulation graphs(4) 摘自９４年名家论文(cofdm simulation graphs (4) from the famous 94 theses)

用Matlab实现加尔顿钉板的程序，最后实现了动画，可根据需要改变几个参数。(Using Matlab procedures of the the Galton nail plate, and the final realization of the animation, according to several parameters need to be changed.)

Returns the JVM class name within the constant pool context of cls class definition.

雷达中的信号相干积累，使得信号的信噪比提升N倍。(Coherent integration radar signal, so the signal to noise ratio enhancement N times.)

压缩文件中包含三个文件，分别是：GA+PSO、GA_only和PSO_only三个程序包。程序是用MATLAB编写的遗传+粒子群算法、遗传算法、粒子群算法，每个程序中包括主程序、种群选择、自适应函数子函数。(The compressed file contains three files, which are GA PSO, ga_only and pso_only three program package. The program is genetic particle swarm algorithm, matlab prepared by the genetic algorithm, particle swarm algorithm, each program includes main program, population selection, adaptive function function.)

说明：  BP神经网格预测，可用与各种波形的预测 比如经济的、机械振动信号等(ANN—BP wave forcast)

系统详细的介绍了matlab软件在各个领域中的应用以及其在科学计算语言中的应用(System is described in detail matlab software applications in various fields as well as their application in scientific computing language)

这些都是通信系统仿真与分析一书的源代码，希望对初学者有用，从基本的理论很好的用matlab进行了最基本的仿真(These are the communications system simulation and analysis of the source code of the book, I hope useful for beginners, from the basic theory of good use to the most basic matlab simulation)