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A Generalized Eigendecomposition Approach using Matrix Pencils to remove artefacts from 2D NMR Spectra

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Artificial Neural Nets Problem Solving Methods (IWANN 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2687))

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Abstract

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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Author information

Authors and Affiliations

  1. Institute of Biophysics, University of Regensburg, D-93040, Regensburg, Germany

    K. Stadlthanner, F.J. Theis & E.W. Lang

  2. Dept. de Electrónica e Telecomunicações, Universidade de Aveiro, P-3810, Aveiro, Portugal

    A.M. Tomé

Authors
  1. K. Stadlthanner
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  2. A.M. Tomé
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  3. F.J. Theis
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  4. E.W. Lang
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Editors and Affiliations

  1. E.T.S. de Ingeniería Informática Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Juan del Rosal, 16, 28040, Madrid, Spain

    José Mira  & José R. Álvarez  & 

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Stadlthanner, K., Tomé, A., Theis, F., Lang, E. (2003). A Generalized Eigendecomposition Approach using Matrix Pencils to remove artefacts from 2D NMR Spectra. In: Mira, J., Álvarez, J.R. (eds) Artificial Neural Nets Problem Solving Methods. IWANN 2003. Lecture Notes in Computer Science, vol 2687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44869-1_73

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  • DOI: https://doi.org/10.1007/3-540-44869-1_73

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40211-4

  • Online ISBN: 978-3-540-44869-3

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