On the Use of Simulated Annealing to Automatically Assign Decorrelated Components in Second Order Blind Source Separation

In this paper, an automatic assignment tool, called BSS-AutoAssign, for artifact-related decorrelated componentes 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 th...

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Detalhes bibliográficos
Autor principal: Böhm, M. (author)
Outros Autores: Stadlthanner, K. (author), Gruber, P. (author), Theis, F. J. (author), Lang, E.W. (author), Tomé, A.M. (author), Teixeira, Ana R. (author), Gronwald, W. (author), Kalbitzer, H.R. (author)
Formato: article
Idioma:eng
Publicado em: 2006
Assuntos:
Blind source separation
Generalized eigenvalue decomposition
Matrix pencil
Simulated annealing
2-D NOESY NMR
Texto completo:http://hdl.handle.net/10773/5291
País:Portugal
Oai:oai:ria.ua.pt:10773/5291
Descrição
Resumo:In this paper, an automatic assignment tool, called BSS-AutoAssign, for artifact-related decorrelated componentes 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.

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