K-mean-clustring

matlab实现水箱液位一维模糊控制器的设计仿真(matlab tank level to achieve one-dimensional simulation of fuzzy controller design)

rf matlab tool box 1

matlab中常用语句介绍，是编程中常用的语句。(matlab in common expressions used in the statement of the programming.)

AM Modulation for Matlab

这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活，允许引入的术语（如果是极少数需要包括色散效应高阶导数）。例如，如果一个人渴望解决的一个方程的形式： （四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3）== 0 Ÿ 它可以解决使用以下代码： Ž = linspace（0,1,512） x = linspace（-5,5,1024） psi0 =进出口（- x的。^ 2） Ð = D_lateral1D（十，2）-0.25 * D_lateral1D（十，3） 字段= LinearBPM（psi0，有D，Z） 凡D_lateral1D是一个函数，提供“取代”的微分算子。 这个函数是在一个非线性的BPM，我曾对（分步，谱方法等），将提交给我，当我完成他们的文件和组织功能更复杂的设置非常初期阶段。 (This is a simple FFT based beam propagation method for potential-free 1+1+1D Schrodinger equation. The software if flexible and allows to introduce high-order derivatives in the term (very handful if is needed to include dispersion effects). For example, if one desires to solve an equation in the form: (d/dz+ d^2/dx^2- 0.25*d^3/dx^3)Y == 0 It can be solved using the following code: z=linspace(0,1,512) x=linspace(-5,5,1024) psi0=exp(-x.^2) D=D_lateral1D(x,2)-0.25*D_lateral1D(x,3) field=LinearBPM(psi0,D,z) Where D_lateral1D is a provided function that "replaces" the derivative operator. This function is a very early stage in a more complex set of non-linear BPM functions that I have made (split-step, spectral methods, etc.) and I will submit them when I finish their documentation and organization. Sorry for my English, I m eager for your comments. )

结合matlab强大的数据处理能力和蒙特卡洛方法的强大随机模拟功能，编写了一个小算例(Matlab combination of powerful data-processing capabilities and a powerful Monte Carlo method of random simulation capabilities, to prepare a small example)

uniform quantizer , a quantizer for calcualting the quantized values of the output

THREE LEVL mli IS designed for three level NPC converter

kriging拟合帽状图（其他拟也行的哦）。(kriging fitting cap-like figure (other lines are also to be oh).)

完成SIMO系统盲均衡，利用改进的恒模算法，可以直接得到端正的星座图，无需额外的相位校正模块。自己编写的程序，验证可用。(Using the improved constant modulus algorithm to complete SIMO system equalization. The algorithm can obtain correct constellation directly, without additional phase correction module.)