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
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;
Conference_Titel :
Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on
Conference_Location :
Lubbock, TX
Print_ISBN :
0-8186-8564-6
DOI :
10.1109/CBMS.1998.701366
