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Noise suppression in NMR spectrum by using wavelet transform analysis

Title
Noise suppression in NMR spectrum by using wavelet transform analysis
Author
원호식
Issue Date
2000-12
Publisher
Korean Magnetic Resonance Society
Citation
Journal of Korean Magnetic Resonance Society, v. 4, no. 2, page. 106-115
Abstract
Wavelet transforms are introduced as a new tool to distinguish real peaks from the noise contaminated NMR data in this paper. New algorithms of two wavelet transforms including Daubechies wavelet transform as a discrete and orthogonal wavelet transform (DWT) and Morlet wavelet transform as a continuous and nonorthogonal wavelet transform(CWT) were developed for noise elimination. DWT and CWT method were successfully applied to the noise reduction in spectrum. The inevitable distortion of NMR spectral baseline and the imperfection in noise elimination were observed in DWT method while CWT method gives a better baseline shape and a well noise suppressed spectrum.
URI
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001068135https://repository.hanyang.ac.kr/handle/20.500.11754/162265
ISSN
1226-6531
Appears in Collections:
COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E](과학기술융합대학) > CHEMICAL AND MOLECULAR ENGINEERING(화학분자공학과) > Articles
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