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|title: ||Separation of water artifacts in 2D NOESY protein spectra using congruent matrix pencils|
|authors: ||Stadlthanner, K.|
Tomé, A. M.
Theis, F. J.
Kalbitzer, H. R.
Lang, E. W.
|keywords: ||Blind source separation|
Independent component analysis
Generalized eigenvalue decomposition
2D NOESY Proton NMR spectra
|issue date: ||Jan-2006|
|abstract: ||Multidimensional proton nuclear magnetic resonance spectra of biomolecules dissolved in aqueous solutions are usually contaminated by an intense water artifact. We discuss the
application of a generalized eigenvalue decomposition (GEVD) method using a matrix pencil
to solve the blind source separation (BSS) problem of removing the intense solvent peak and
related artifacts. The method explores correlation matrices of the signals and their filtered
versions in the frequency domain and implements a two-step algebraic procedure to solve the
GEVD. Two-dimensional nuclear Overhauser enhancement spectroscopy (2D NOESY) of
dissolved proteins is studied. Results are compared to those obtained with the SOBI
[Belouchrani et al., IEEE Trans. Signal Process. 45(2) (1997) 434–444] algorithm which jointly
diagonalizes several time-delayed correlation matrices and to those of the fastICA [Hyvärinen and Oja, Neural Comput. 9 (1996) 1483–1492] algorithm which exploits higher order statistical
dependencies of random variables.|
|publisher version/DOI: ||http://dx.doi.org/10.1016/j.neucom.2005.02.008|
|appears in collections||DETI - Artigos|
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