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Denoising using local projective subspace methods

Gruber, Peter and Stadlthanner, Kurt and Böhm, M. and Theis, Fabian J. and Tomé, A. M. and Teixeira, A. R. and Puntonet, Carlos G. and Gorriz , J. M. and Lang, Elmar (2007) Denoising using local projective subspace methods. Neurocomputing 69 (13-15), pp. 1485-1501.

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Abstract

In this paper we present previous termdenoisingnext term algorithms for enhancing noisy signals based on previous termLocalnext term 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 components resembling the signals can be detected by various ...

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Item Type:Article
Date:2007
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.1016/j.neucom.2005.12.025DOI
Keywords:Local ICA; Delayed AMUSE; Projective subspace denoising embedding
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:05 Oct 2010 06:35
Last Modified:05 Oct 2010 06:35
Item ID:16913
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