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SSA of biomedical signals: A linear invariant systems approach

Bibliographic Details
Main Author: Figueiredo, N.
Publication Date: 2010
Other Authors: Georgieva, P., Lang, E.W., Santos, I.M., Teixeira, A.R., Tomé, A.M.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.26/47395
Summary: 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 Electroencephalograms (EEG).
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spelling SSA of biomedical signals: A linear invariant systems approachSSAlinear invariant systemssignal enhancementsubspace distancesSingular 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 Electroencephalograms (EEG).[International Press of Boston]Repositório ComumFigueiredo, N.Georgieva, P.Lang, E.W.Santos, I.M.Teixeira, A.R.Tomé, A.M.2023-10-23T10:50:07Z20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/47395eng10.4310/SII.2010.v3.n3.a8info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-02T11:27:35Zoai:comum.rcaap.pt:10400.26/47395Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T06:47:29.630651Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv SSA of biomedical signals: A linear invariant systems approach
title SSA of biomedical signals: A linear invariant systems approach
spellingShingle SSA of biomedical signals: A linear invariant systems approach
Figueiredo, N.
SSA
linear invariant systems
signal enhancement
subspace distances
title_short SSA of biomedical signals: A linear invariant systems approach
title_full SSA of biomedical signals: A linear invariant systems approach
title_fullStr SSA of biomedical signals: A linear invariant systems approach
title_full_unstemmed SSA of biomedical signals: A linear invariant systems approach
title_sort SSA of biomedical signals: A linear invariant systems approach
author Figueiredo, N.
author_facet Figueiredo, N.
Georgieva, P.
Lang, E.W.
Santos, I.M.
Teixeira, A.R.
Tomé, A.M.
author_role author
author2 Georgieva, P.
Lang, E.W.
Santos, I.M.
Teixeira, A.R.
Tomé, A.M.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Comum
dc.contributor.author.fl_str_mv Figueiredo, N.
Georgieva, P.
Lang, E.W.
Santos, I.M.
Teixeira, A.R.
Tomé, A.M.
dc.subject.por.fl_str_mv SSA
linear invariant systems
signal enhancement
subspace distances
topic SSA
linear invariant systems
signal enhancement
subspace distances
description 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 Electroencephalograms (EEG).
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-01-01T00:00:00Z
2023-10-23T10:50:07Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.26/47395
url http://hdl.handle.net/10400.26/47395
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4310/SII.2010.v3.n3.a8
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv [International Press of Boston]
publisher.none.fl_str_mv [International Press of Boston]
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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