Neyman_Pearson 根据NP原理对软木塞进行分类的完整函数。部分如下： function []=Neyman_Pearson(opt) 从excel中读进数据 [source,txt]=xlsread( CORK_STOPPERS.xls , Data ) 读取CORK_STOPPERS.xls文件里Data sheet里的数据， 数据存放在source变量里，文本存放在txt变量里 data=[source(:,3:4),source(:,9)] 将用到的三

The architecture of this set of codes and the interaction among them is shown in Figure 1. The main testing code main code.m calls the code riemann grad unit opt.m that performs Riemannian optimization under unitary matrix constraint. Steepest De

function [data_new_new ] = verstripewipe_new1( date, opt ) % -------去除垂直条纹(全局去条纹法)--------------- %Input: % data:要去除噪声的数据矩阵,M-by-N-by-D % opt:对于有黑色背景的图像,把去条纹对背景带来的影响去掉:1,否则:0 % Output: % data_new_new:去除条纹噪声后的数据矩阵 %if ~exis