Autoencoder_Code

详细介绍混沌序列 对混沌序列编程的指导十分有用 (Detailed introduction to the chaotic sequence of chaotic sequence programming guide very useful)

虹膜识别算法 对图像要求较高 算法简单 内附可用于程序图片(Iris recognition algorithms require a higher simple algorithm and the image can be used to process images containing)

使用matlab来设计长周期光栅的代码，使用耦合模理论方法。(Matlab to design a long-period grating code, using the coupled mode theory.)

一篇非常经典的LEACH协议改进文献，值得大家学习，在此与大家共享。(It is a very useful book that about LEACH protocol! You can study it and get you want.thank you!)

基于k_l的人脸识别，费了很大力气搜来的，与大家分享一下。(K_l-based face recognition, a lot of trouble to search for, share with you.)

多种方差减小蒙特卡洛法计算期权的程序，程序对学习蒙特卡洛很有帮助！(Various variance reduction Monte C Lofa option calculation procedures, procedures for the Monte Carlo learning very helpful!)

用来生成任意长度的m序列，需要输入初始值和本原多项式的系数(M used to generate the sequence of any length, you need to enter the initial value and the primitive polynomial coefficients)

求解一个多层分层流体中色散方程频率和波数关系的程序(Solving a multi-layer stratified fluid in the dispersion equation the relationship between the frequency and wave number of the procedures)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

Matlab基础教程，包含基础函数，基本命令以及简单操作，方便有简单基础的人查阅( Matlab-based tutorials, contains basic functions, the basic commands and simple operation)