Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II)
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.inffus.2017.07.004 http://hdl.handle.net/11449/179068 |
Resumo: | This article introduces the second generation of the Discrete Shapelet Transform (DST-II), a tool created for fusing three types of information: time, frequency and shape-related. Considered a particular Discrete Wavelet Transform (DWT), it allows a productive time-frequency-shape (TFS) joint analysis. In the proposed approach, both the procedure to attain the corresponding filters coefficients and the interpretation of the transformed signal are simplified in relation to the usage of its predecessor, i.e., the DST. Throughout the article, the DST-II formulation is described in detail, including a numerical example, a prototype for use in a diversity of fields and an application on spike and overlap sorting, reassuring the efficacy of the new transform. |
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Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II)Discrete shapelet transform (DST)Discrete wavelet transform (DWT)Information fusionPattern analysisSignal processingTime-frequency-shape (TFS) joint analysisThis article introduces the second generation of the Discrete Shapelet Transform (DST-II), a tool created for fusing three types of information: time, frequency and shape-related. Considered a particular Discrete Wavelet Transform (DWT), it allows a productive time-frequency-shape (TFS) joint analysis. In the proposed approach, both the procedure to attain the corresponding filters coefficients and the interpretation of the transformed signal are simplified in relation to the usage of its predecessor, i.e., the DST. Throughout the article, the DST-II formulation is described in detail, including a numerical example, a prototype for use in a diversity of fields and an application on spike and overlap sorting, reassuring the efficacy of the new transform.Instituto de Biociências Letras e Ciências Exatas Unesp - Univ Estadual Paulista (São Paulo State University), Rua Cristóvão Colombo 2265, Jd Nazareth, 15054-000, São José do Rio Preto - SPInstituto de Biociências Letras e Ciências Exatas Unesp - Univ Estadual Paulista (São Paulo State University), Rua Cristóvão Colombo 2265, Jd Nazareth, 15054-000, São José do Rio Preto - SPUniversidade Estadual Paulista (Unesp)Guido, Rodrigo Capobianco [UNESP]2018-12-11T17:33:25Z2018-12-11T17:33:25Z2018-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article9-15application/pdfhttp://dx.doi.org/10.1016/j.inffus.2017.07.004Information Fusion, v. 41, p. 9-15.1566-2535http://hdl.handle.net/11449/17906810.1016/j.inffus.2017.07.0042-s2.0-850266299292-s2.0-85026629929.pdf65420862268080670000-0002-0924-8024Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInformation Fusion1,832info:eu-repo/semantics/openAccess2024-01-10T06:30:39Zoai:repositorio.unesp.br:11449/179068Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:39:41.455432Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II) |
title |
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II) |
spellingShingle |
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II) Guido, Rodrigo Capobianco [UNESP] Discrete shapelet transform (DST) Discrete wavelet transform (DWT) Information fusion Pattern analysis Signal processing Time-frequency-shape (TFS) joint analysis |
title_short |
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II) |
title_full |
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II) |
title_fullStr |
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II) |
title_full_unstemmed |
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II) |
title_sort |
Fusing time, frequency and shape-related information: Introduction to the Discrete Shapelet Transform's second generation (DST-II) |
author |
Guido, Rodrigo Capobianco [UNESP] |
author_facet |
Guido, Rodrigo Capobianco [UNESP] |
author_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Guido, Rodrigo Capobianco [UNESP] |
dc.subject.por.fl_str_mv |
Discrete shapelet transform (DST) Discrete wavelet transform (DWT) Information fusion Pattern analysis Signal processing Time-frequency-shape (TFS) joint analysis |
topic |
Discrete shapelet transform (DST) Discrete wavelet transform (DWT) Information fusion Pattern analysis Signal processing Time-frequency-shape (TFS) joint analysis |
description |
This article introduces the second generation of the Discrete Shapelet Transform (DST-II), a tool created for fusing three types of information: time, frequency and shape-related. Considered a particular Discrete Wavelet Transform (DWT), it allows a productive time-frequency-shape (TFS) joint analysis. In the proposed approach, both the procedure to attain the corresponding filters coefficients and the interpretation of the transformed signal are simplified in relation to the usage of its predecessor, i.e., the DST. Throughout the article, the DST-II formulation is described in detail, including a numerical example, a prototype for use in a diversity of fields and an application on spike and overlap sorting, reassuring the efficacy of the new transform. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:33:25Z 2018-12-11T17:33:25Z 2018-05-01 |
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://dx.doi.org/10.1016/j.inffus.2017.07.004 Information Fusion, v. 41, p. 9-15. 1566-2535 http://hdl.handle.net/11449/179068 10.1016/j.inffus.2017.07.004 2-s2.0-85026629929 2-s2.0-85026629929.pdf 6542086226808067 0000-0002-0924-8024 |
url |
http://dx.doi.org/10.1016/j.inffus.2017.07.004 http://hdl.handle.net/11449/179068 |
identifier_str_mv |
Information Fusion, v. 41, p. 9-15. 1566-2535 10.1016/j.inffus.2017.07.004 2-s2.0-85026629929 2-s2.0-85026629929.pdf 6542086226808067 0000-0002-0924-8024 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Information Fusion 1,832 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
9-15 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129447990132736 |