本程序用于仿真QPSK的解调

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. )

Suma de potencias para calcular campo en el receptor

PCM的编码端仿真程序,主要包括抽样量化\编码三部分.用程序语言编写(PCM terminal emulation program code, including sample quantization encoding three parts. With the preparation of programming language)

直接将秘密图像的高4bit隐藏在RGB载体图像的R,G,B层中所选的那一层的低4bit(Directly to the secret image hidden in the high-4bit RGB vector images R, G, B layer, then a layer of selected low-4bit)

matlab的命令大全，对于matlab命令英文解释不习惯的人，用这个很方便，是一本很不错的入门书籍。(matlab learning books, use for matlab is not very understanding person, with this very convenient, is a very good master entry plus books.)

this code is to sample the signal

用MATLAB编写的时钟，希望对感兴趣的人有用(a clock code with matlab , hope useful to the one interested~)

em算法计算混合高斯模型的参数估计，极大似然，EM算法用于K均值问题的参数估计。MATLAB实现有代码(em algorithm Gaussian mixture model parameter estimation, maximum likelihood parameter estimation for K-means problem EM algorithm. MATLAB implementation code)

hi every one its matlab code aodv true time

matlab program based on newton method, nonlinear equations