A generalized eigendecomposition approach using matrix pencils to remove artefacts from 2D NMR spectra

K. Stadlthanner; A. M. Tomé; F. J. Theis; E. W. Lang

Journal Article

A generalized eigendecomposition approach using matrix pencils to remove artefacts from 2D NMR spectra

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2003) 2687 575-582

DOI: 10.1007/3-540-44869-1_73

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Abstract

Multidimensional1 H nmr spectra of biomolecules dissolved in light water are contaminated by an intense water artefact. We discuss the application of the generalized eigenvalue decomposition (GEVD) method using a matrix pencil to explore the time structure of the signals in order to separate out the water artefacts. Simulated as well as experimental 2D NOESY spectra of proteins axe studied. Results axe compared to those obtained with the FastICA algorithm. © Springer-Verlag Berlin Heidelberg 2003.

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Stadlthanner, K., Tomé, A. M., Theis, F. J., & Lang, E. W. (2003). A generalized eigendecomposition approach using matrix pencils to remove artefacts from 2D NMR spectra. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2687, 575–582. https://doi.org/10.1007/3-540-44869-1_73

A generalized eigendecomposition approach using matrix pencils to remove artefacts from 2D NMR spectra

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