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数字信号处理的matlab编程仿真的部分程序，m文件。(Digital signal processing matlab program for simulating the part of the process, m file.)

On obtient les informations sur une fonction (contenue dans Matlab ou dans un des toolbox) en tapant help suivi du nom de cette fonction. On peut aussi utiliser un mot clé avec la fonction lookfor, le mot clé n’étant pas nécessairement le nom d’une fonction de Matlab. exemples : help diag, help clear, lookfor complex...

百慕达期权的MonteCarlo模拟，MonteCarlo广泛应用于各种期权定价模拟等过程(Bermuda option MonteCarlo simulations, MonteCarlo widely used in option pricing simulation processes)

Matlab component,Creating a component to handle optical signals in Optisystem (In order to create an optical component in Matlab for co-simulation with OptiSystem, first we need to understand the optical signal format that OptiSystem can generate and the structure of that signal launched into the Matlab workspace. Following is an example to create an Optical Attenuator using the Matlab component. In this example, first we introduce the signal format in OptiSystem, and then we show how to use Matlab to process that signal. )

基于MATLAB研究二维Gaussian低通滤波器的时频特性及其用于模仿点扩散函数（PSF:point spread function）在图像退化建模中的应用(When the frequency characteristics of the two-dimensional Gaussian MATLAB study based on its low-pass filter is used to mimic the point spread function (PSF: point spread function) in image degradation modeling)

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

有源代码的蚁群算法的MATLAB程序包 对于理解蚁群算法很有帮助 只需稍作修改

求解方程 包括求解线性方程非线性方程，微分方程等(Solving equations, including solving linear equations of nonlinear equations, differential equations, etc.)

power active filter simulation

writing function files with Matlab