NMR Solvent Peak Suppression by Piecewise Polynomial Truncated Singular Value Decomposition Methods
- Title
- NMR Solvent Peak Suppression by Piecewise Polynomial Truncated Singular Value Decomposition Methods
- Author
- 김대경
- Keywords
- Nuclear magnetic resonance; Piecewise polynomial truncated singular value decomposition method; Peak suppression
- Issue Date
- 2003-07
- Publisher
- Korean Chemical Society
- Citation
- Bulletin of the Korean Chemical Society, v. 24, issue. 7, page. 967-970
- Abstract
- A new modified singular value decomposition method, piecewise polynomial truncated
SVD (PPTSVD), which was originally developed to identify discontinuity of
the earth`s radial density function, has been was used utilized for the large
solvent peak suppression and noise elimination in nuclear magnetic resonance (NMR)
signal processing. PPTSVD consists of two algorithms of truncated SVD (TSVD) and
L1 problems. In TSVD, some unwanted large solvent peaks and noises are suppressed
with a certain soft threshold value, whereas signal and noise in raw data are
resolved and eliminated out in L1 problems. These two algorithms were
systematically programmed enough to produce high quality of NMR spectra,
including a the better solvent peak suppression with good spectral line shapes and
better noise suppression with a higher signal to noise S/N ratio value up to 27%
spectral enhancement, which that can be is applicable to multidimensional NMR data
processing.
- URI
- http://koreascience.or.kr/article/JAKO200302727402800.pagehttps://repository.hanyang.ac.kr/handle/20.500.11754/156043
- ISSN
- 0253-2964; 1229-5949
- DOI
- 10.5012/bkcs.2003.24.7.967
- Appears in Collections:
- COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E](과학기술융합대학) > APPLIED MATHEMATICS(응용수학과) > Articles
- Files in This Item:
- NMR Solvent Peak Suppression by Piecewise Polynomial Truncated Singular Value Decomposition Methods.pdfDownload
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