Journal of the Korean Magnetic Resonance Society (한국자기공명학회논문지)
- Volume 4 Issue 2
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- Pages.103-115
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- 2000
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- 1226-6531(pISSN)
Noise Suppression in NMR Spectrum by Using Wavelet Transform Analysis
- Kim, Daesung (Department of Chemistry, College of Natural Sciences, 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)
- Published : 2000.12.01
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 fer 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 ahape and a well noise suppressed spectrum.
Keywords