seven-dugoff-model

ICA算法演示，给出了ICA算法实现的具体程序。 还有几张实验结果的截图(ICA algorithm demo, given the specific procedures implemented by the ICA algorithm. There are a few screenshots of the experimental results)

matlab电力系统潮流计算源程序和说明(The source and description of matlab power system load flow calculation)

This code is used for calculate the laplacian mean square error

基于matlab软件的瑞丽衰落信道仿真 代码 软件打开直接用(Based on MATLAB software Ruili fading channel simulation source software open)

说明：  解决线性assignment的算法，c++实现，并且提供matlab接口，编译后可以用matlab调用(Solve the linear assignment algorithm, c++ Realize, and to provide matlab interface, the compiler can be used after the call matlab)

基于MATLAB提供的函数，帮助初学者使用概率统计函数，以及计算概率分布函数的参数。(Based on MATLAB provides functions to help beginners to use probability and statistics functions, and to calculate the probability distribution function parameters.)

负责火星的一个低轨道空间站的设计。为简化结构，该空间站由一系列密闭的立方体（airtight cubical modules ACM）组成，这些ACM曾连接在一起。困扰你的一个问题是致命的病菌也许留在火星的上层大气中。因为空间站有时需要在上层大气中飞行，所以急需在ACM的各个接触面进行额外的防护，无论是边对边还是面对面，连接是密闭的，所以没有细菌能够进入。一个ACM与另外一个ACM共享的面不需要防护。如果在每个ACM每个面上都加防护，花费巨大。因此，需要知道ACM额外防护的确切面数目(Responsible for the design of a low-orbit space station on Mars. In order to simplify the structure of the space station by a series of closed cubes (airtight cubical modules ACM) composed of these ACM had together. One problem is bothering you deadly germs might stay in the upper atmosphere of Mars. Because the station is sometimes necessary to fly in the upper atmosphere, so urgently needed in all contact surfaces of the ACM additional protection, either face to face or side-to-side, the connection is closed, so no bacteria can enter. An ACM ACM shared with another surface does not need protection. If you have added protection on each side of each ACM, costly. Therefore, the need to know the exact number of additional surface protection ACM)

用MATLAB程序实现对同一问题的欧拉法计算、后退欧拉法计算、龙格库塔法则计算和提醒法则的计算，很有代表性与通用性(MATLAB program to achieve the same with the Euler method to calculate the problem, Euler backward method, Runge-Kutta rule calculations and advise law computation, very representative and universal)

Matlab code for Classic AdaBoost Classifier

Combining some labeled images is a quite common and useful task in image analysis. That s something we may want to do to prepare the markers for a watershed from markers for example, or to write the output of several segmentations in a single file. This article comes with three new filters to make the combination of labeled images easier with ITK. This contribution also try to provide an implementation better integrated with the ITK pipeline model than the itkMultipleUnlabeledImagesToLabeledImageFilter contribution.