Removing water artefacts from 2D protein NMR spectra using GEVD with congruent matrix pencils

Multidimensional 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 are studied. Results are compared to those obtained with the FastICA algorithm.

[1]  Hans Robert Kalbitzer,et al.  Structure of the Ras-binding domain of RalGEF and implications for Ras binding and signalling , 1997, Nature Structural Biology.

[2]  Henry Leung,et al.  Separation of a mixture of chaotic signals , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[3]  Aapo Hyvärinen,et al.  A Fast Fixed-Point Algorithm for Independent Component Analysis , 1997, Neural Computation.

[4]  Schuster,et al.  Separation of a mixture of independent signals using time delayed correlations. , 1994, Physical review letters.

[5]  H. Kalbitzer,et al.  Relax, a flexible program for the back calculation of NOESY spectra based on complete-relaxation-matrix formalism. , 1997, Journal of magnetic resonance.

[6]  Zhi Ding,et al.  A matrix-pencil approach to blind separation of colored nonstationary signals , 2000, IEEE Trans. Signal Process..

[7]  A.M. Tome Blind source separation using a matrix pencil , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[8]  D. Chakrabarti,et al.  A fast fixed - point algorithm for independent component analysis , 1997 .

[9]  Ana Maria Tomé AN ITERATIVE EIGENDECOMPOSITION APPROACH TO BLIND SOURCE SEPARATION , 2001 .

[10]  Antoine Souloumiac,et al.  Blind source detection and separation using second order non-stationarity , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.