한국자기공명학회논문지 (Journal of the Korean Magnetic Resonance Society)
- 제4권2호
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- Pages.116-124
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- 2000
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- 1226-6531(pISSN)
Noise Suppression of NMR Signal by Piecewise Polynomial Truncated Singular Value Decomposition
- Kim, Daesung (Department of Chemistry and Applied Chemistry, College of Science and Technology, Hanyang University) ;
- Youngdo Won (Department of Chemistry, College of Natural Sciences, Hanyang University) ;
- Hoshik Won (Department of Chemistry and Applied Chemistry, College of Science and Technology, Hanyang University)
- 발행 : 2000.12.01
초록
Singular value decomposition (SVD) has been used during past few decades in the advanced NMR data processing and in many applicable areas. A new modified SVD, piecewise polynomial truncated SVD (PPTSVD) was developed far the large solvent peak suppression and noise elimination in U signal processing. PPTSVD consists of two algorithms of truncated SVD (TSVD) and L
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