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

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

  • Affiliations:
  • Institute of Biophysics, University of Regensburg, Regensburg, Germany D-93040;Dept. de Electrónica e Telecomunicações, Universidade de Aveiro, Aveiro, Portugal P-3810;Institute of Biophysics, University of Regensburg, Regensburg, Germany D-93040;Institute of Biophysics, University of Regensburg, Regensburg, Germany D-93040

  • Venue:
  • IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
  • Year:
  • 2009

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Abstract

Multidimensional 1H 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.