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

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

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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Jose Mira, Jose R. Alvarez
Publisher	Springer Verlag
Pages	575-582
Number of pages	8
ISBN (Print)	354040211X, 9783540402114
DOIs	https://doi.org/10.1007/3-540-44869-1_73
State	Published - 2003
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2687
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/3-540-44869-1_73

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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. In J. Mira, & J. R. Alvarez (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 575-582). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2687). Springer Verlag. https://doi.org/10.1007/3-540-44869-1_73

Stadlthanner, K. ; Tomé, A. M. ; Theis, F. J. et al. / 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). editor / Jose Mira ; Jose R. Alvarez. Springer Verlag, 2003. pp. 575-582 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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.",

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Stadlthanner, K, Tomé, AM, Theis, FJ & Lang, EW 2003, A generalized eigendecomposition approach using matrix pencils to remove artefacts from 2D NMR spectra. in J Mira & JR Alvarez (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2687, Springer Verlag, pp. 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. / Stadlthanner, K.; Tomé, A. M.; Theis, F. J. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Jose Mira; Jose R. Alvarez. Springer Verlag, 2003. p. 575-582 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2687).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - A generalized eigendecomposition approach using matrix pencils to remove artefacts from 2D NMR spectra

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AU - Theis, F. J.

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AB - 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.

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SN - 354040211X

SN - 9783540402114

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Stadlthanner K, Tomé AM, Theis FJ, Lang EW. A generalized eigendecomposition approach using matrix pencils to remove artefacts from 2D NMR spectra. In Mira J, Alvarez JR, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2003. p. 575-582. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 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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