facerecognizeANN

浙江大学的关于提取图像背景的报告（matlab），里面的方法给我很多启示，希望也能给你们一些启示，由于本人是初学者，有些方法还是看不懂！(Zhejiang University, on the extraction of image background report (matlab), inside the method for giving me a lot of inspiration, hope and also give you some inspiration, because I am a beginner, and some way to watch or do not understand!)

仿真程序：首先需要用一个随机发生器产生（0.1）内的均匀随机数，然后再将该序列映射到对应的幅度电平｛Am｝。然后将这个范围再分成4个相等的区间，这些子区间分别对应于4个信号比特的符号00，01，10，11。检测器观察到r=Am+n，并且计算r和4种可能传输的信号幅度之间的距离，它的输出Bm就是相应于最小距离的信号电平。Bm与真正的的传输信号幅度比较，差错计数器用来对检测器产生的差错计数。(Simulation program: first need to use a random generator (0.1) the uniform random number, then the sequence is mapped to the corresponding amplitude level {Am}. Then this range has been divided into four equal intervals, these sub-intervals corresponding to four signal bits of the symbol 00,01,10,11. Detector observed r = Am+ n, and calculate r and 4 possible transmission distance between the signal amplitude, its output corresponding to the minimum distance Bm is the signal level. Bm and the real rate of transmission of the signal comparison, error detection counter is used to generate the error count.)

one-hour battery multi-charger for Ni-CD , Mi-Mh , Li-Ion (from ST)

运用MATLAB对控制系统进行仿真操作(to use MATLAB simulation and control systems operation)

该程序的作用用于产生正交多项式.该压缩包内含有多个M文件,其中Approximation.m文件为主要的函数文件,它会调用其他的函数文件.该函数提供了和Matlab自身提供的函数一样的条用方式.(The role of the program used to generate orthogonal polynomials. The package contains a number of M documents, including documents Approximation.m function as the main document, it will call a function of other documents. The Matlab function provided and provide their own be a function with the same way.)

主要是希尔伯特——黄HHT中的EMD分解过程的工具箱，将其导入matlab的工具箱中，就能使用！(Mainly Hilbert- Huang HHT in the toolbox EMD decomposition process will import the toolbox matlab, you can use!)

AX.25是一个数据打包协议，用于信号数据提供高效率的传输(AX.25 is a data package protocol for signal data to provide efficient transmission)

用plsc算法算脑激活与行为指标的相关，参考文献：Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，(Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，)

特征选择方法,matlab实现增 l减 r法 顺序后退法 SFFS 特征选择 顺序前进法特征选择(feature selection)

The first purpose of this paper is to present a brief introduction to the behavior and functioning of a PV device and write its basic equation, without the intention of providing an in-depth analysis of the photovoltaic phenomena and the semiconductor physics.