ruili

matlab的学习资料，方便大家的学习，可以下载看看(matlab learning materials to facilitate everyone' s learning)

Fourier modal method

混沌图像加密，不错的界面程序，可以添加图片，非常实用(Chaotic image encryption, good interface program, you can add pictures, very practical)

相干光通信中，偏振解复用的matlab源码，毕业论文用，非常珍贵(Coherent optical communication, polarized solution, the matlab source code reuse graduation thesis to use, very precious )

由于Matlab不同于其它编程语言,因此在使用数据库方面和其它语言有显著不同.主要介绍 Matlab中数据库的连接和使用。(Because Matlab is different from other programming languages, so in the use of databases and other languages are markedly different. Mainly Matlab database connection and use.)

harris角点检测算子，该代码运行速度快(harris corner detection operator, the code to run faster)

卡尔曼滤波非线性识别,土木工程 健康监测，损伤识别，(karman，civil engineering identification,health of structure monitor)

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编程初级教程，是初学者的学习宝典，简单易懂(The primary matlab programming tutorial is for beginners to learn canon easy to understand)

MATLAB实现ELM算法，并附带UCI经典数据。(MATLAB realization ELM algorithm, along with the classic UCI data.)