Constellation-clustering-analysis

用Matlab实现了对一副图像骨架的提取，方法简单，易于掌握。内附实例(Using Matlab to achieve an image of the skeleton extraction method is simple, easy to master. Containing examples)

matlab的优化算法教程matlab的优化算法教程(asdfdsgfdagdsagdsafgsdgdsgds)

Covariance Matrix Adaptation CMA-ES

我们提出了一种新的方法来实现全光 微波使用光纤布拉格光栅阵列滤波 相同的反射率。确定了过滤器攻丝系数 通过一个宽带光源的光谱分布和 光栅的中心波长。由于光纤布拉格 光栅有相同的反射率，其特征 高均匀度的光栅是可能的，从而简化了 光纤布拉格光栅的制作，降低了实现 错误。此外，该宽带光的光谱分布 源可以控制使用的光学过滤器，可用于 控制滤波器系数的滤波器的旁瓣抑制。一个 微波滤波器采用四个光纤布拉格光栅的实验 实施。 (We propose a novel approach to realizing all-optical microwave filtering using an array of fiber Bragg gratings with identical reflectivities. The filter tapping coefficients are determined by the spectrum profile of a broadband light source and the central wavelengths of the gratings. Since the fiber Bragg gratings have identical reflectivities, the characteristics of the gratings with high uniformity are possible, which simplifies the fiber Bragg grating fabrication and reduces the implementation error. In addition, the spectrum profile of the broadband light source can be controlled using an optical filter, which could be used to control the filter coefficients to suppress the filter sidelobes. A microwave filter using four fiber Bragg gratings is experimentally implemented.)

利用基于粒子群算法的灰色模型对航空发电机进行状态趋势分析技术研究，所得到的分析结果平均相对误差为3.99 。此模型为粒子群优化算法对GM(1,1)模型的改进模型，因此称为基于粒子群优化算法的GM(1,1)模型。(Using aviation turbine gray model based on particle swarm optimization state trend analysis technology research, analysis the average relative error is 3.99 . This model for particle swarm optimization algorithm improved model GM (1,1) model, the so called GM (1,1) model based on particle swarm optimization algorithm.)

基于互功率谱的时延估计算法，对仿真结果有图详细描述(Based on cross-power spectrum of time-delay estimation algorithm, simulation results have plans for a detailed description of)

说明：  这些说明包括了该课程的数值部分上半年AMAT3122数学 微分方程的方法。他们不是一个完整的笔记。(MATLAB (MATrix LABoratory) is a very powerful package designed for numerical analysis, matrix calculations and visualisation (as well as many other applications). One of MATLABs strengths is that it can be used as a simple ‘calculator’ and also is easy to program more complicated tasks. Many mathematical algorithms are already built in to MATLAB and many more are easily added)

UPFC STATCOM SIMULINK MATLAB

matlab 实现粒子群（pso）算法的程序源码。非常经典，里面有详细说明和注释。(matlab Particle Swarm (pso) algorithm of the program source code. Very classic, there are detailed instructions and notes.)

Pulse Code Modulation (PCM)