SSA of biomedical signals: A linear invariant systems approach

Bibliographic Details
Main Author: Tomé, A.M.
Publication Date: 2010
Other Authors: Teixeira, Ana Rita, Figueiredo, Nuno, Santos, I.M., Georgieva, P., Lang, E.W.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10773/5306
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 lectroencephalograms (EEG).
id RCAP_b8d61a67741aeb5ba8f5960a895588f6
oai_identifier_str oai:ria.ua.pt:10773/5306
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
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 lectroencephalograms (EEG).International Press20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/5306eng1938-7989Tomé, A.M.Teixeira, Ana RitaFigueiredo, NunoSantos, I.M.Georgieva, P.Lang, E.W.info: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:RCAAP2024-05-06T03:36:53Zoai:ria.ua.pt:10773/5306Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T13:40:33.468742Repositórios 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
Tomé, A.M.
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 Tomé, A.M.
author_facet Tomé, A.M.
Teixeira, Ana Rita
Figueiredo, Nuno
Santos, I.M.
Georgieva, P.
Lang, E.W.
author_role author
author2 Teixeira, Ana Rita
Figueiredo, Nuno
Santos, I.M.
Georgieva, P.
Lang, E.W.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Tomé, A.M.
Teixeira, Ana Rita
Figueiredo, Nuno
Santos, I.M.
Georgieva, P.
Lang, E.W.
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 lectroencephalograms (EEG).
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-01-01T00:00:00Z
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/10773/5306
url http://hdl.handle.net/10773/5306
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1938-7989
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
publisher.none.fl_str_mv International Press
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
_version_ 1833593977104760832

Similar Items