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 SSA of biomedical signals: A linear invariant systems approach
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/5306

title: SSA of biomedical signals: A linear invariant systems approach
authors: Tomé, A.M.
Teixeira, Ana Rita
Figueiredo, Nuno
Santos, I.M.
Georgieva, P.
Lang, E.W.
keywords: SSA
Linear invariant systems
Signal enhancement
Subspace distances
issue date: 2010
publisher: International Press
abstract: Singular spectrum analysis (SSA) is considered from a linear invariant systems perspective. In this terminology, the extracted components are considered as outputs of a linear invariant system which corresponds to finite impulse response (FIR) filters. The number of filters is determined by the embedding dimension.We propose to explicitly define the frequency response of each filter responsible for the selection of informative components. We also introduce a subspace distance measure for clustering subspace models. We illustrate the methodology by analyzing lectroencephalograms (EEG).
URI: http://hdl.handle.net/10773/5306
ISSN: 1938-7989
publisher version/DOI: http://www.intlpress.com/SII/SII-vol-3.php
source: Statistics and Its Interface
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