多尺度PCA用于高光谱预处理去除噪声 Multiscale Principal Component Analysis

[X_SIM,QUAL,NPC,DEC_SIM,PCA_Params] = wmspca(X,LEVEL,WNAME,NPC) or [...] = wmspca(X,LEVEL,WNAME,'mode',EXTMODE,NPC) returns a simplified version X_SIM of the input matrix X obtained from the wavelet-based multiscale principal component analysis (PCA). The input matrix X contains P signals of length N stored columnwise (N > P). > P).