Part-IV-Decision-Based-Methods

说明：  基于MATLAB车牌识别的应用，请大家多多指教(Application of MATLAB-based license plate recognition, please bear teach)

A matlab code to retrieve nonlocal metamaterial parameters from D.R.Smith 2002 s paper

二维码的MATLAB仿真程序，能够很好地帮助大家(Two-dimensional code MATLAB simulation program can be a good help everyone)

关联规则挖掘算法的matlab程序，我编写了Apriori算法的FLpMGH 步骤，可以自动生成关联规则，计算支持度、置信度以及 aXlJybd 检测，很好的小程序。(Association rule mining algorithm matlab program, I wrote FLpMGH step Apriori algorithm can automatically generate association rules, computing support, confidence and aXlJybd detection, good little program.)

feature selection from iris data set it will use statistical methods and get the best set of features then use graphs to classify the data

关于matlab中dsolve函数的一些使用说明及例子(About matlab function in dsolve some instructions and examples)

matlab的一個教程，ppt可以配合學習的時候使用(the course of matlab7.0,ppt)

To de-noise pictures the salt-pepper noise using an adaptive median filter

对于指纹图像,无论在频域或是在空域处理时,都要用到指纹的方向性信息,所以求取指纹方向图就显得格外重 要。求取指纹图像方向图的方法有很多种,文中列出了其中几种易于实现的算法。目的在于比较几种求取方向图的算法, 得到这几种方法的性能,以利于不同场合的要求。(good )

压缩感知程序源码，Blind compressed sensing (BCS)不需要在采样和恢复阶段预先知道稀疏基。源码对于研究压缩感知前沿具有很好的借鉴意义。(The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measurements. However, prior knowledge of the sparsity basis is essential for the recovery process. Blind compressed sensing (BCS) avoids the need to know the sparsity basis in both the sampling and the recovery process. That is, BCS aims at recovering an ensemble of vectors, all sparse under the same unknown basis, given small number of linear measurements of these vectors. )