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说明：  Matlab codes for biometric recognition

用于数学建模解决最短路径或者类似的优化问题(Mathematical modeling is used to solve the shortest path or similar optimization problems)

Scene completion.This is a toy implementation of Scene Completion Using Millions of Photographs for 6.870 Object Recognition and Scene Understanding.(This implementation uses a of 54,000 256x256 images the Oliva lab for which we already have gist-based nearest neighbors data. )

把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)

关于matlab的一些程序，比如各种滤波器设计(some program about matalb,such as kinds of filter s design)

已知: 每个飞机只有一个油箱， 飞机之间可以相互加油(注意是相互，没有加油机) 一箱油可供一架飞机绕地球飞半圈，问题:为使至少一架飞机绕地球一圈回到起飞时的飞机场，至少需要出动几架飞机?(所有飞机从同一机场起飞，而且必须安全 返回机场，不允许中途降落，中间没有飞机场)(plane problem)

matlab使用程序教程，包括四部分：1-32是：图形应用篇；33-66是：界面设计篇；67-84是：图形处理篇；85-100是：数值分析篇(matlab tutorial to use the program, including the four-part :1-32 is: graphics applications, articles 33-66 is: interface design articles 67-84 is: graphics processing articles 85-100 are: Numerical Analysis Section)

快速独立分量分析（FastICA）源码及ICA在MRI图像中应用的例程。(Fast independent component analysis (FastICA) and ICA source images in MRI applications routines.)

多服务区机场航班排队问题,计算平均等待时间和服务区的飞机分布(Airport flight queue problem with several Service area)

说明：  介绍的关于matlab的基本所有函数的使用小知识点，对学习matlab的很有用(Introduced on all functions matlab basic knowledge of the use of small points, the learning of useful matlab)