WAVEWAT-improved solvent suppression in NMR spectra employing wavelet transforms

J Magn Reson. 2002 May;156(1):19-25. doi: 10.1006/jmre.2002.2534.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Fourier Analysis
  • Magnetic Resonance Spectroscopy*
  • Signal Processing, Computer-Assisted
  • Water / chemistry*

Substances

  • Water