Wavewat - Improved solvent suppression in NMR Spectra employing wavelet transforms

Ulrich Gunther; Christian Ludwig; H Ruterjans

doi:10.1006/jmre.2002.2534

Wavewat - Improved solvent suppression in NMR Spectra employing wavelet transforms

Ulrich Gunther
, Christian Ludwig
, H Ruterjans

Metabolism and Systems Science

Research output: Contribution to journal › Article › peer-review

32 Citations (Scopus)

Abstract

WAVEWAT is a new processing algorithm to suppress the on-resonance water signal in NMR spectra. It is based on a multiresolution analysis (MRA) of the free induction decay (FID) using a dyadic discrete wavelet transform (DWT). The width of the suppressed signal can be adjusted so that signals close to water are recovered without distortion of the signal shape and intensity. Computational efficiency is comparable to that of convolution filters employing a Fourier transform.

Original language	English
Pages (from-to)	19-25
Number of pages	7
Journal	Journal of Magnetic Resonance
Volume	156
Issue number	1
DOIs	https://doi.org/10.1006/jmre.2002.2534
Publication status	Published - 1 May 2002

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10.1006/jmre.2002.2534

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AU - Ruterjans, H

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AB - WAVEWAT is a new processing algorithm to suppress the on-resonance water signal in NMR spectra. It is based on a multiresolution analysis (MRA) of the free induction decay (FID) using a dyadic discrete wavelet transform (DWT). The width of the suppressed signal can be adjusted so that signals close to water are recovered without distortion of the signal shape and intensity. Computational efficiency is comparable to that of convolution filters employing a Fourier transform.

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Wavewat - Improved solvent suppression in NMR Spectra employing wavelet transforms

Abstract

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