function-optimization-GA

本文基于matlab开发环境，利用鱼群算法对30节点的电网进行无功优化(Reactive Power Optimization Based on fish swarm algorithm in 30 node grid)

说明：  Introduction to power amplifiers

matlab的基本应用，和基础知识，ppt形式的讲解。(matlab basic applications, and basic knowledge, ppt form of explanation.)

rand, randn, randint.... you can understand my code

应用平面波法模拟3-D钻石型光子晶体结构的带隙分布.(Application of Plane Wave Simulation of 3-D diamond-type photonic crystal structure, the distribution of band-gap.)

产生噪声调频信号............(Generate noise FM signal)

LMSE算法实现判断线性可分性和求分界向量(LMSE algorithm for linear separability judgment and seek demarcation vector)

mimi_ofdm multipath channel emulation, including waveform shape,

用二维小波包分解得到水平垂直细节系数，据此组合合成图像的边缘，并与传统算子方法对比(Two-dimensional wavelet packet decomposition has been the level of vertical detail coefficient, which images the edge of combinatorial chemistry and operator with the traditional methods)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)