DocumentCode
3162431
Title
De-noising ENMR spectra by wavelet shrinkage
Author
Li, Jun ; Greenshields, Ian R.
Author_Institution
Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
fYear
1998
fDate
12-14 Jun 1998
Firstpage
252
Lastpage
255
Abstract
Wavelet shrinkage de-noising is applied to electrophoretic nuclear magnetic resonance (ENMR) data. Both threshold rules for removing noise, namely soft and hard, proposed in Donoho´s (1993) VisuShrink, are used simultaneously. Soft thresholding is applied to fine levels of wavelet decomposition coefficients and hard thresholding is applied to coarse levels. This implementation is coordinated by visualizing the features presented in ENMR spectra
Keywords
biomedical NMR; electrophoresis; interference suppression; wavelet transforms; ENMR spectra; VisuShrink; electrophoretic nuclear magnetic resonance; feature visualization; hard thresholding; noise removal; soft thresholding; threshold rules; wavelet decomposition coefficients; wavelet shrinkage denoising; Data engineering; Data mining; Data visualization; Discrete wavelet transforms; Magnetic noise; Noise level; Noise reduction; Nuclear magnetic resonance; Wavelet coefficients; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on
Conference_Location
Lubbock, TX
ISSN
1063-7125
Print_ISBN
0-8186-8564-6
Type
conf
DOI
10.1109/CBMS.1998.701366
Filename
701366
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