average_centrality.m

说明：  图像灰度变换、图像的锐化、⑴直方图均衡化（histogram equalization），⑵直方图匹配（histogram matching），⑶邻域平均（neighborhood averaging），⑷局域增强（local enhancement）， ⑸中值滤波（median filtering）。源码(Image gray-scale transformation, image sharpening, ⑴ histogram equalization (histogram equalization), ⑵ histogram matching (histogram matching), ⑶ average neighborhood (neighborhood averaging), ⑷ enhanced local (local enhancement), ⑸ Value filtering (median filtering). Source)

高等光学仿真(MATLAB 版〉 一一光波导，激光(optical numerical simulation)

说明：  利用随机方法产生-1 +1 分布的白噪声(using random methods-1 1 distribution of white noise)

KALMAN Fİ LTER İ MPLEMENT İ N 2D MOTİ ON

Directory of useful Bayesian VAR Analysis material

说明：  三点二次插值的matlab程序和0.618法的matlab程序，(Three-point quadratic interpolation matlab matlab law procedures and procedures 0.618,)

使用matlab语言编程解决整数规划问题(Using matlab language programming to solve the integer programming problem )

一种遗传优化神经网络的算法，里面包含有初始化函数,在运行程序前先将实验数据load进去。输入A =load( D:数据.txt ) 这里的D是你存储数据的位置(A genetic optimization of neural network algorithm, which contains the initialization function, before running the program to the experimental data in load. Enter the A =load (D: data.Txt) where D is your data storage location)

基于SVR的线性系统内部模型辨识建模及校验的仿真程序， 由于辨识信号采用的都是随机信号，不是数值固定的信号，所以程序每次运行的结果都可能有所不同。(Based the SVR system of linear internal model identification modeling and verification simulation program identification signal are random signal, not the value of the fixed signal, so the program each time you run the results are likely to differ.)

自抗扰控制器在实际使用时有多个需要整定的参数,由于控制器参数多,又无法确定参数作用方向,因此参数整定困 难,为实际使用自抗扰控制器带来不便。本文利用MATLAB软件仿真分析控制器及参数,寻求参数整定规律,简化整定过 程,对实际应用自抗扰控制器具有较大的意义(There ADRC in actual use multiple needs tuning parameters, as the controller parameters many, it can not determine the parameters of the role of direction, parameter setting sleepy Difficult to actually use ADRC inconvenience. In this paper, MATLAB software simulation analysis controller and parameters, parameter tuning laws seek to simplify tuning over Cheng, the practical application has a greater significance ADRC)