Matlab-100-examples-

介绍了butterworth的二自由度的实现(Describes two degrees of freedom to achieve butterworth)

哈希函数MD5，自己在MATLAB仿真实现的代码。供大家学习交流。(hash funtion MD5 Matlab codes,which is edited for our studying )

program for trafic sing detection

目标跟踪程序实现_对雷达采集的数据进行分析，然后得出目标的飞行轨迹，程序采用了卡尔曼滤波加当前统计模型(Target tracking procedures to achieve _ radar data collected for analysis, and then draw the target flight path, the program uses a Kalman filter plus current statistical model)

说明：  实现EM算法的MATLAB仿真程序，利用高斯混合模型实现EM聚类算法，并比较估计参数。(EM algorithm to achieve the MATLAB simulation program, using Gaussian Mixture Model EM clustering algorithm, and compare the estimated parameters.)

瑞利和高斯信道下的BPSK误码率，含有详细解释，成功运行，学习通信仿真第一个程序。(BPSK BER under Rayleigh and Gaussian channel containing a detailed explanation of successful operation, the first communication simulation learning program.)

非常有用的matlab cheng xu (very useful Matlab WM xu)

内点法最优潮流程序，其中可以修改相关目标函数来计算不同情况下的最优点(Interior point optimal power flow program)

PCA和LDA算法的融合，适用于人脸识别中(Fusion of PCA and LDA Algorithm for Face Recognition)

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. )