Identifying Ordinal Similarities at Different Temporal Scales

Autores
Zunino, Luciano José; Porte, Xavier; Soriano, Miguel C.
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This study implements the permutation Jensen–Shannon distance as a metric for discerning ordinal patterns and similarities across multiple temporal scales in time series data. Initially, we present a numerically controlled analysis to validate the multiscale capabilities of this method. Subsequently, we apply our methodology to a complex photonic system, showcasing its practical utility in a real-world scenario. Our findings suggest that this approach is a powerful tool for identifying the precise temporal scales at which two distinct time series exhibit ordinal similarity. Given its robustness, we anticipate that this method could be widely applicable across various scientific disciplines, offering a new lens through which to analyze time series data.
Fil: Zunino, Luciano José. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina
Fil: Porte, Xavier. University of Strathclyde; Reino Unido
Fil: Soriano, Miguel C.. Consejo Superior de Investigaciones Científicas. Instituto de Física Interdisciplinar y Sistemas Complejos; España
Materia
TIME SERIES
SYMBOLIC ANALYSIS
ORDINAL PATTERNS
PERMUTATION ENTROPY
JENSEN–SHANNON DIVERGENCE
PERMUTATION JENSEN–SHANNON DISTANCE
MULTISCALE ANALYSIS
ORDINAL SIMILARITY
CHAOTIC SEMICONDUCTOR LASER
DELAYED OPTICAL FEEDBACK
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/256641
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Identifying Ordinal Similarities at Different Temporal ScalesZunino, Luciano JoséPorte, XavierSoriano, Miguel C.TIME SERIESSYMBOLIC ANALYSISORDINAL PATTERNSPERMUTATION ENTROPYJENSEN–SHANNON DIVERGENCEPERMUTATION JENSEN–SHANNON DISTANCEMULTISCALE ANALYSISORDINAL SIMILARITYCHAOTIC SEMICONDUCTOR LASERDELAYED OPTICAL FEEDBACKhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1This study implements the permutation Jensen–Shannon distance as a metric for discerning ordinal patterns and similarities across multiple temporal scales in time series data. Initially, we present a numerically controlled analysis to validate the multiscale capabilities of this method. Subsequently, we apply our methodology to a complex photonic system, showcasing its practical utility in a real-world scenario. Our findings suggest that this approach is a powerful tool for identifying the precise temporal scales at which two distinct time series exhibit ordinal similarity. Given its robustness, we anticipate that this method could be widely applicable across various scientific disciplines, offering a new lens through which to analyze time series data.Fil: Zunino, Luciano José. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; ArgentinaFil: Porte, Xavier. University of Strathclyde; Reino UnidoFil: Soriano, Miguel C.. Consejo Superior de Investigaciones Científicas. Instituto de Física Interdisciplinar y Sistemas Complejos; EspañaMolecular Diversity Preservation International2024-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/256641Zunino, Luciano José; Porte, Xavier; Soriano, Miguel C.; Identifying Ordinal Similarities at Different Temporal Scales; Molecular Diversity Preservation International; Entropy; 26; 12; 11-2024; 1-151099-4300CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/26/12/1016info:eu-repo/semantics/altIdentifier/doi/10.3390/e26121016info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:13:05Zoai:ri.conicet.gov.ar:11336/256641instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:13:06.203CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Identifying Ordinal Similarities at Different Temporal Scales
title Identifying Ordinal Similarities at Different Temporal Scales
spellingShingle Identifying Ordinal Similarities at Different Temporal Scales
Zunino, Luciano José
TIME SERIES
SYMBOLIC ANALYSIS
ORDINAL PATTERNS
PERMUTATION ENTROPY
JENSEN–SHANNON DIVERGENCE
PERMUTATION JENSEN–SHANNON DISTANCE
MULTISCALE ANALYSIS
ORDINAL SIMILARITY
CHAOTIC SEMICONDUCTOR LASER
DELAYED OPTICAL FEEDBACK
title_short Identifying Ordinal Similarities at Different Temporal Scales
title_full Identifying Ordinal Similarities at Different Temporal Scales
title_fullStr Identifying Ordinal Similarities at Different Temporal Scales
title_full_unstemmed Identifying Ordinal Similarities at Different Temporal Scales
title_sort Identifying Ordinal Similarities at Different Temporal Scales
dc.creator.none.fl_str_mv Zunino, Luciano José
Porte, Xavier
Soriano, Miguel C.
author Zunino, Luciano José
author_facet Zunino, Luciano José
Porte, Xavier
Soriano, Miguel C.
author_role author
author2 Porte, Xavier
Soriano, Miguel C.
author2_role author
author
dc.subject.none.fl_str_mv TIME SERIES
SYMBOLIC ANALYSIS
ORDINAL PATTERNS
PERMUTATION ENTROPY
JENSEN–SHANNON DIVERGENCE
PERMUTATION JENSEN–SHANNON DISTANCE
MULTISCALE ANALYSIS
ORDINAL SIMILARITY
CHAOTIC SEMICONDUCTOR LASER
DELAYED OPTICAL FEEDBACK
topic TIME SERIES
SYMBOLIC ANALYSIS
ORDINAL PATTERNS
PERMUTATION ENTROPY
JENSEN–SHANNON DIVERGENCE
PERMUTATION JENSEN–SHANNON DISTANCE
MULTISCALE ANALYSIS
ORDINAL SIMILARITY
CHAOTIC SEMICONDUCTOR LASER
DELAYED OPTICAL FEEDBACK
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This study implements the permutation Jensen–Shannon distance as a metric for discerning ordinal patterns and similarities across multiple temporal scales in time series data. Initially, we present a numerically controlled analysis to validate the multiscale capabilities of this method. Subsequently, we apply our methodology to a complex photonic system, showcasing its practical utility in a real-world scenario. Our findings suggest that this approach is a powerful tool for identifying the precise temporal scales at which two distinct time series exhibit ordinal similarity. Given its robustness, we anticipate that this method could be widely applicable across various scientific disciplines, offering a new lens through which to analyze time series data.
Fil: Zunino, Luciano José. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Ciencias Básicas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigaciones Ópticas. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones Ópticas. Universidad Nacional de La Plata. Centro de Investigaciones Ópticas; Argentina
Fil: Porte, Xavier. University of Strathclyde; Reino Unido
Fil: Soriano, Miguel C.. Consejo Superior de Investigaciones Científicas. Instituto de Física Interdisciplinar y Sistemas Complejos; España
description This study implements the permutation Jensen–Shannon distance as a metric for discerning ordinal patterns and similarities across multiple temporal scales in time series data. Initially, we present a numerically controlled analysis to validate the multiscale capabilities of this method. Subsequently, we apply our methodology to a complex photonic system, showcasing its practical utility in a real-world scenario. Our findings suggest that this approach is a powerful tool for identifying the precise temporal scales at which two distinct time series exhibit ordinal similarity. Given its robustness, we anticipate that this method could be widely applicable across various scientific disciplines, offering a new lens through which to analyze time series data.
publishDate 2024
dc.date.none.fl_str_mv 2024-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/256641
Zunino, Luciano José; Porte, Xavier; Soriano, Miguel C.; Identifying Ordinal Similarities at Different Temporal Scales; Molecular Diversity Preservation International; Entropy; 26; 12; 11-2024; 1-15
1099-4300
CONICET Digital
CONICET
url http://hdl.handle.net/11336/256641
identifier_str_mv Zunino, Luciano José; Porte, Xavier; Soriano, Miguel C.; Identifying Ordinal Similarities at Different Temporal Scales; Molecular Diversity Preservation International; Entropy; 26; 12; 11-2024; 1-15
1099-4300
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1099-4300/26/12/1016
info:eu-repo/semantics/altIdentifier/doi/10.3390/e26121016
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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