Abstract
The correction of baseline and phase distortions is an important problem in magnetic resonance spectroscopy. In this work, fast and automatic correction methods based on the adaptive construction of Wiener filters are presented. The proposed methods consist of estimating and classifying the model parameters of the measured spectrum and of approximating correlation operators for the measured and the corrected signal. Results of numerical simulations and applications to real data are given.
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© 2003 Springer-Verlag Berlin Heidelberg
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Peitgen, HO., Boskamp, T., Singer, P. (2003). Signal Correction in NMR Spectroscopy. In: Jäger, W., Krebs, HJ. (eds) Mathematics — Key Technology for the Future. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55753-8_39
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DOI: https://doi.org/10.1007/978-3-642-55753-8_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-62914-3
Online ISBN: 978-3-642-55753-8
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