Hurst_index

this is the function of the the differential of equation that program the modeling

QGA的原代码，你可以很快的上手进行编写你自己所有的程序，如果有什么困难可以联系我，谢谢！(QGA of the original code, you can quickly get started to write all your own procedures, if any difficulties you can contact me, thank you!)

Virtex-6 Family Overview

应用matlab编写的m文件，简单通俗的描述了一维卡尔曼滤波的过程，并附有仿真图。(Applications written in matlab m file describes a simple popular Kalman filtering process, together with the simulation map.)

to define Joystick In Matlab

MC-CDMA的SIMULINK仿真 (MC-CDMA the SIMULINK simulation)

image processing的简单实例

使用matlab软件实现鲁棒控制技术，对电力系统中电频率控制能很好的实现(Using matlab software robust control technology, electric power system frequency control can achieve good)

matlab环境下的灰色GM（1,1）完整程序，且带有部分说明(Grey GM matlab environment (1,1) complete procedures, and with a part)

说明：  粒子群算法（PSO）是一种基于群体的随机优化技术。与其它基于群体的进化算法相比，它们均初始化为一组随机解，通过迭代搜寻最优解。不同的是：进化计算遵循适者生存原则，而PSO模拟社会。将每个可能产生的解表述为群中的一个微粒，每个微粒都具有自己的位置向量和速度向量，以及一个由目标函数决定的适应度。所有微粒在搜索空间中以一定速度飞行，通过追随当前搜索到的最优值来寻找全局最优值。 PSO模拟社会采用了以下三条简单规则对粒子个体进行操作：①飞离最近的个体，以避免碰撞。②飞向目标。③飞向群体的中心。这是粒子群算法的基本概念之一。 粒子群算法其基本思想是受许多鸟类的群体行为进行建模与仿真研究结果的启发(Particle swarm optimization (PSO) is a population based stochastic optimization techniques. Based on evolutionary algorithms compared with other groups, they are initialized to a random solution, iterative search through optimal solution. The difference is: the principle of survival of the fittest evolutionary computation to follow, while PSO simulation community. The potential of each solution expressed as a group of particles, each particle has its own position vector and the velocity vector, and a fitness determined by the objective function. All particles in the search space at a constant speed flight, by following the current search to find the optimal values ​ ​ of the global optimum. PSO simulation community has adopted the following three simple rules for the operation of individual particles: ① recently departed individuals, in order to avoid collisions. ② to the target. ③ fly to center groups. This is one of the basic concepts of particle swarm algorithm. PSO algori)