Denoising using local projective subspace methods

In this paper we present denoising algorithms for enhancing noisy signals based on Local ICA (LICA), Delayed AMUSE (dAMUSE) and Kernel PCA (KPCA). The algorithm LICA relies on applying ICA locally to clusters of signals embedded in a high-dimensional feature space of delayed coordinates. The compone...

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Detalhes bibliográficos
Autor principal: Gruber, P. (author)
Outros Autores: Stadlthanner, K. (author), Böhm, M. (author), Theis, F. J. (author), Lang, E. W. (author), Tomé, A. M. (author), Teixeira, A. R. (author), Puntonet, C. G. (author), Gorriz Saéz, J. M. (author)
Formato: article
Idioma:eng
Publicado em: 1000
Assuntos:
Local ICA
Delayed AMUSE
Projective subspace denoising embedding
Texto completo:http://hdl.handle.net/10773/5806
País:Portugal
Oai:oai:ria.ua.pt:10773/5806

Texto Completo

http://hdl.handle.net/10773/5806

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