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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Bibliographic Details

Published in:	Journal of chemometrics Vol. 29; no. 8; pp. 442 - 447
Main Authors:	Yang, Ruifang, Zhao, Nanjing, Xiao, Xue, Yu, Shaohui, Liu, Jianguo, Liu, Wenqing
Format:	Journal Article
Language:	English
Published:	Chichester Blackwell Publishing Ltd 01.08.2015 Wiley Subscription Services, Inc
Subjects:	Algorithms Aquatic environment component recognition Factorization Fluorescence Lakes Matrix Polycyclic aromatic hydrocarbons Rivers sparse non-negative matrix factorization Spectra Three dimensional three-dimensional fluorescence spectra Water analysis Water sampling
ISSN:	0886-9383, 1099-128X
Online Access:	Get full text
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