Blind separation of fluorescence spectra using sparse non-negative matrix factorization on right hand factor

Sparse non‐negative matrix factorization on right side factor (SNMF/R) has better performance in feature extraction than non‐negative matrix factorization. In this work, SNMF/R was first used to separate the overlapped three‐dimensional fluorescence spectra of polycyclic aromatic hydrocarbons mixtur...

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Veröffentlicht in:	Journal of chemometrics 2015-08, Vol.29 (8), p.442-447
Hauptverfasser:	Yang, Ruifang, Zhao, Nanjing, Xiao, Xue, Yu, Shaohui, Liu, Jianguo, Liu, Wenqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms component recognition Factorization Fluorescence Lakes Matrix Polycyclic aromatic hydrocarbons Rivers sparse non-negative matrix factorization Spectra Three dimensional three-dimensional fluorescence spectra
Online-Zugang:	Volltext
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