Bohm, M and Stadlthanner, K and Gruber, P and Theis, Fabian J. and Lang, Elmar W. and Tome, AM and Teixeira, AR and Gronwald, Wolfram and Kalbitzer, Hans Robert (2006) On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 53 (5). pp. 810-820. ISSN 0018-9294, 1558-2531
Full text not available from this repository. (Request a copy)Abstract
In this paper, an automatic assignment tool, called BSS-AutoAssign, for artifact-related decorrelated components within a second-order blind source separation (BSS) is presented. The latter is based on the recently proposed algorithm dAMUSE, which provides an elegant solution to both the BSS and the denoising problem simultaneously. BSS-AutoAssign uses a local principal component analysis (PCA) to approximate the artifact signal and defines a suitable cost function which is optimized using simulated annealing. The algorithms dAMUSE plus BSS-AutoAssign are illustrated by applying them to the separation of water artifacts from two-dimensional nuclear overhauser enhancement (2-D NOESY) spectroscopy signals of proteins dissolved in water.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | IMPROVED SOLVENT SUPPRESSION; NMR-SPECTRA; RESONANCES; FREQUENCY; REMOVAL; PROTEIN; DOMAIN; SIGNAL; TOOL; blind source separation; generalized eigenvalue decomposition; matrix pencil; simulated annealing; 2-D NOESY NMR |
| Subjects: | 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Dr. Hans Robert Kalbitzer Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang > Arbeitsgruppe Dr. Fabian Theis |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 15 Feb 2021 11:58 |
| Last Modified: | 15 Feb 2021 11:59 |
| URI: | https://pred.uni-regensburg.de/id/eprint/34578 |
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