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Proceedings Paper

Blind spectral unmixing in terahertz domain using nonnegative matrix factorization
Author(s): Xian Li; Ping J. Huang; Ye H. Ma; Di B. Hou; Guangxin Zhang
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Paper Abstract

Recovering component spectra from terahertz measurements of unknown mixtures has been studied in this paper using nonnegative matrix factorization (NMF). NMF mathematically decomposes the spectra data into two nonnegative matrixes which describe the component spectra and the corresponding fractional abundance. Two basic algorithms in the class of this method, NMF and NMF with smoothness constraint (cNMF), were adopted to resolve the terahertz absorption spectra matrix obtained from a ternary mixture with varying compositions of Nitrofurantoin, L-Leucine and D-Tyrosine. The quality of the decomposition results was evaluated. The performance of the two algorithms on extracting component terahertz spectra was compared. The optimal result reached by cNMF in this study implies the capability of the NMF method for blind terahertz spectral unmixing. The attempt made in our work helps to further investigate unknown mixtures by terahertz spectroscopy.

Paper Details

Date Published: 5 November 2015
PDF: 6 pages
Proc. SPIE 9795, Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015, 97953E (5 November 2015); doi: 10.1117/12.2212263
Show Author Affiliations
Xian Li, Zhejiang Univ. (China)
Ping J. Huang, Zhejiang Univ. (China)
Ye H. Ma, Zhejiang Univ. (China)
Di B. Hou, Zhejiang Univ. (China)
Guangxin Zhang, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 9795:
Selected Papers of the Photoelectronic Technology Committee Conferences held June–July 2015
Shenggang Liu; Songlin Zhuang; Michael I. Petelin; Libin Xiang, Editor(s)

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