On the use of simulated annealing to automatically assign decorrelated components in second-order blind source separation

M. Böhm, K. Stadlthanner, P. Gruber, F. J. Theis, E. W. Lang, A. M. Tomé, A. R. Teixeira, W. Gronwald, H. R. Kalbitzer

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6 Scopus citations

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.

Original languageEnglish
Article number1621132
Pages (from-to)810-820
Number of pages11
JournalIEEE Transactions on Biomedical Engineering
Volume53
Issue number5
DOIs
StatePublished - May 2006
Externally publishedYes

Keywords

  • 2-D NOESY NMR
  • Blind source separation
  • Generalized eigenvalue decomposition
  • Matrix pencil
  • Simulated annealing

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