Back to Search Start Over

De-noising ENMR spectra by wavelet shrinkage

Authors :
Jun Li
I.R. Greenshields
Source :
CBMS
Publication Year :
2002
Publisher :
IEEE Comput. Soc, 2002.

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.

Details

Database :
OpenAIRE
Journal :
Proceedings. 11th IEEE Symposium on Computer-Based Medical Systems (Cat. No.98CB36237)
Accession number :
edsair.doi...........76aae76a14546fa09c6e12780cd6df2f
Full Text :
https://doi.org/10.1109/cbms.1998.701366