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

M Bohm; K Stadlthanner; P Gruber; F J Theis; E W Lang; A M Tome; A R Teixeira; W Gronwald; H R Kalbitzer

doi:10.1109/TBME.2005.863968

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

IEEE Trans Biomed Eng. 2006 May;53(5):810-20. doi: 10.1109/TBME.2005.863968.

Authors

M Bohm¹, K Stadlthanner, P Gruber, F J Theis, E W Lang, A M Tome, A R Teixeira, W Gronwald, H R Kalbitzer

Affiliation

¹ Institute of Biophysics, AG Neuro- and Bioinformatics, University of Regensburg, D-93040 Regensburg, Germany.

PMID: 16686403
DOI: 10.1109/TBME.2005.863968

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Artifacts*
Artificial Intelligence*
Complex Mixtures / analysis
Magnetic Resonance Spectroscopy / methods*
Pattern Recognition, Automated / methods*
Proteins / analysis*
Statistics as Topic
Water / analysis*

Substances

Complex Mixtures
Proteins
Water