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Determining the number of chemical species in nuclear magnetic resonance data matrix by taking advantage of collinearity and noise

Crossref DOI link: https://doi.org/10.1016/j.aca.2018.04.050

Published Print: 2018-08

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Wang, Wanping

Shao, Limin

Yuan, Bin

Zhang, Xu

Liu, Maili
Funding

Funding for this research was provided by:

Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT)

Fundamental Research Funds for the Central Universities (wk2060190040)
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Text and Data Mining valid from 2018-08-01
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This article is maintained by: Elsevier

Article Title: Determining the number of chemical species in nuclear magnetic resonance data matrix by taking advantage of collinearity and noise

Journal Title: Analytica Chimica Acta

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.aca.2018.04.050

Content Type: article

Copyright: © 2018 Elsevier B.V. All rights reserved.