imageronghe

关于遗传算法的matlab程序，非常适合初学者使用，特别是想对程序研究比较深入的同行来说，更为重要了(matlab)

基于fft和二进小波编写的二维小波多孔算法图像分解，效果不错(Fft and based on dyadic wavelet algorithm for the preparation of porous two-dimensional wavelet image decomposition, good results)

运用插值的全矢量有限差分法求解阶跃光波导本征模式以及等效折射率 (Using the interpolation of full vector finite difference method to solve step eigen mode optical waveguide and equivalent refractive index )

Localization problem(A matlab code for sensor localization)

动态数据交换(Dynamic Data Exchange,DDE)是Windows应用程序间数据交换的有效方法。利用它可以进行组态王和MATLAB的通信,从而扩充组态王的控制运算功能(Dynamic Data Exchange (Dynamic Data Exchange, DDE) is an effective method of data exchange between Windows applications. Use it can be the the configuration king and MATLAB communication, thus to expand KingView control operation function)

利用扩展卡尔曼滤波器对已知环境地图进行估计，得出估计位置，并给出了真实轨迹(Using extended Kalman filter to estimate the known environment map, draw the estimated location, and provides true trajectory )

这是一个混沌理论中重要的Lorenz映射的程序。通过曲线很容易看到奇妙的混沌现象(Chaos Theory important Lorenz mapping procedures. Curve it is easy to see the amazing phenomenon of Chaos)

本代码给出基于MIMO系统下的系统容量分析，其中得出了SISO,SIMO,MISO,MIMO详细的仿真代码和仿真结果分析。对于研究不同环境下的系统容量很有帮助。(The code given system based on MIMO system capacity analysis, which come to SISO, SIMO, MISO, MIMO simulation code and a detailed analysis of simulation results.)

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)

基于matlab计算人体皮肤表面温度随时间变化的曲线。(Matlab calculation based on human skin surface temperature over time curve.)