SSA of biomedical signals: A linear invariant systems approach
Main Author: | |
---|---|
Publication Date: | 2010 |
Other Authors: | , , , , |
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). |
id |
RCAP_ed68d8ebaeb4d04c0532710fd9ed0bec |
---|---|
oai_identifier_str |
oai:comum.rcaap.pt:10400.26/47395 |
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 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 |
_version_ |
1833602786766356480 |