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A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artifacts from 2D NMR Spectra

Stadlthanner, K., Tomé, A., Theis, Fabian J. and Lang, Elmar (2003) A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artifacts from 2D NMR Spectra. In: Mira, José, (ed.) Artificial neural nets problem solving methods |7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, Maó, Menorca, Spain, June 3 - 6, 2003; proceedings, part II. Lecture Notes in Computer Science, 2687. Springer, Berlin, pp. 575-582. ISBN 3-540-40211-X.

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Multidimensional 1 H nmr spectra of biomolecules dissolved in light water are contaminated by an intense water artefact. We dis- cuss 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 experi- mental 2D NOESY spectra of proteins are studied. Results are compared to those obtained with the FastICA algorithm.

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Item type:Book section
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
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Dewey Decimal Classification:500 Science > 530 Physics
500 Science > 570 Life sciences
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:1561
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