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LOG算子，实现边沿检测，内附readme(LOG operator, to achieve edge detection, included readme)

Matlab教程第11章，编成与案例教学(Matlab Guide Chapter 11, compiled and Case Teaching)

Parzer Window on CUDA for Matlab

matlab常用函数命令，各个工具箱中所用到的都包括，还有simulator常用仿真命令，(some important function for matlab ,including all of the tool boxes and simulator)

高等光学仿真中的程序代码，介绍了光纤的本征模以及激光原理，并以Matlab为基础仿真。(Advanced optical simulation program code, introduced the optical fiber the eigenvalue of the mode and laser principle, and based on Matlab simulation.)

说明：  This is an induction motor simulation using simulink. The parameters can be selected by the user and results are good.

transformée de fourier rapide

MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

基于灰色模型的风电预测matlab程序,根据已有数据利用灰色模型预测未来的风电功率。(Wind power based on gray model prediction matlab program, based on the existing data using gray models to predict the future wind power.)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)