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De-noising ENMR spectra by wavelet shrinkage

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2 Author(s)
Jun Li ; Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA ; Greenshields Ian, R.

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

Published in:

Computer-Based Medical Systems, 1998. Proceedings. 11th IEEE Symposium on

Date of Conference:

12-14 Jun 1998