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Noise suppression of NMR spectrum by the shift averaged Harr wavelet transform

Title
Noise suppression of NMR spectrum by the shift averaged Harr wavelet transform
Author
원호식
Issue Date
2001-09-12
Publisher
한국자기공명학회
Citation
Journal of the Korean Magnetic Resonance Society, v. 5, no. 2, page. 66-71
Abstract
The noise suppression of time domain NMR data by discrete wavelet transform with high order Daubechies wavelet coefficients exhibits severe peak distortion and incomplete noise suppression near real signal. However, the fact that even a shift averaged Harr wavelet transform with a set of Daubechies wavelet coefficients (1/2, -1/2) can be used as a new and excellent tool to distinguish real peaks from the noise contaminated NMR signal is introduced. New algorithms of shift averaged Harr wavelet were developed and quantitatively evaluated in terms of threshold and signal to noise ratio (SNR).
URI
https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001061406https://repository.hanyang.ac.kr/handle/20.500.11754/161003
ISSN
1226-6531
Appears in Collections:
COLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E](과학기술융합대학) > CHEMICAL AND MOLECULAR ENGINEERING(화학분자공학과) > Articles
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