Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns

Autores
Dai Pra, Ana Lucía; Passoni, Lucía Isabel; Sendra, G. Hernán; Trivi, Marcelo Ricardo; Rabal, Héctor Jorge
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The laser dynamic speckle is a phenomenon caused by the fluctuant interference of the laser light reflected from an illuminated surface where some kind of activity is taking place. Signals generated by the intensity changes in each pixel through the sequence are processed with the finality of identifying underlying activity in each point. In this work we compare the performance of a Rough Fuzzy Granular Descriptor (previously published) against a set of dynamic speckle descriptors based in time and frequency processing. To perform this evaluation a numerical simulation is proposed to explore their linearity, robustness, sensitivity related to the samples quantity, as well as also by their computing time. Also the robustness to inhomogeneous spatial intensity was evaluated in an experiment performed with the illuminated surface of an actual biological object.
Unidad de Investigación y Desarrollo Optimo
Centro de Investigaciones Ópticas
Materia
Ingeniería
Biospeckle
dynamic speckle simulation
rough-fuzzy sets
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/86161

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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle PatternsDai Pra, Ana LucíaPassoni, Lucía IsabelSendra, G. HernánTrivi, Marcelo RicardoRabal, Héctor JorgeIngenieríaBiospeckledynamic speckle simulationrough-fuzzy setsThe laser dynamic speckle is a phenomenon caused by the fluctuant interference of the laser light reflected from an illuminated surface where some kind of activity is taking place. Signals generated by the intensity changes in each pixel through the sequence are processed with the finality of identifying underlying activity in each point. In this work we compare the performance of a Rough Fuzzy Granular Descriptor (previously published) against a set of dynamic speckle descriptors based in time and frequency processing. To perform this evaluation a numerical simulation is proposed to explore their linearity, robustness, sensitivity related to the samples quantity, as well as also by their computing time. Also the robustness to inhomogeneous spatial intensity was evaluated in an experiment performed with the illuminated surface of an actual biological object.Unidad de Investigación y Desarrollo OptimoCentro de Investigaciones Ópticas2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf28-40http://sedici.unlp.edu.ar/handle/10915/86161enginfo:eu-repo/semantics/altIdentifier/issn/1875-6891info:eu-repo/semantics/altIdentifier/doi/10.1080/18756891.2015.1129589info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:08:46Zoai:sedici.unlp.edu.ar:10915/86161Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:08:46.606SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns
title Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns
spellingShingle Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns
Dai Pra, Ana Lucía
Ingeniería
Biospeckle
dynamic speckle simulation
rough-fuzzy sets
title_short Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns
title_full Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns
title_fullStr Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns
title_full_unstemmed Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns
title_sort Signal Feature Extraction Using Granular Computing: Comparative Analysis with Frequency and Time Descriptors Applied to Dynamic Laser Speckle Patterns
dc.creator.none.fl_str_mv Dai Pra, Ana Lucía
Passoni, Lucía Isabel
Sendra, G. Hernán
Trivi, Marcelo Ricardo
Rabal, Héctor Jorge
author Dai Pra, Ana Lucía
author_facet Dai Pra, Ana Lucía
Passoni, Lucía Isabel
Sendra, G. Hernán
Trivi, Marcelo Ricardo
Rabal, Héctor Jorge
author_role author
author2 Passoni, Lucía Isabel
Sendra, G. Hernán
Trivi, Marcelo Ricardo
Rabal, Héctor Jorge
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ingeniería
Biospeckle
dynamic speckle simulation
rough-fuzzy sets
topic Ingeniería
Biospeckle
dynamic speckle simulation
rough-fuzzy sets
dc.description.none.fl_txt_mv The laser dynamic speckle is a phenomenon caused by the fluctuant interference of the laser light reflected from an illuminated surface where some kind of activity is taking place. Signals generated by the intensity changes in each pixel through the sequence are processed with the finality of identifying underlying activity in each point. In this work we compare the performance of a Rough Fuzzy Granular Descriptor (previously published) against a set of dynamic speckle descriptors based in time and frequency processing. To perform this evaluation a numerical simulation is proposed to explore their linearity, robustness, sensitivity related to the samples quantity, as well as also by their computing time. Also the robustness to inhomogeneous spatial intensity was evaluated in an experiment performed with the illuminated surface of an actual biological object.
Unidad de Investigación y Desarrollo Optimo
Centro de Investigaciones Ópticas
description The laser dynamic speckle is a phenomenon caused by the fluctuant interference of the laser light reflected from an illuminated surface where some kind of activity is taking place. Signals generated by the intensity changes in each pixel through the sequence are processed with the finality of identifying underlying activity in each point. In this work we compare the performance of a Rough Fuzzy Granular Descriptor (previously published) against a set of dynamic speckle descriptors based in time and frequency processing. To perform this evaluation a numerical simulation is proposed to explore their linearity, robustness, sensitivity related to the samples quantity, as well as also by their computing time. Also the robustness to inhomogeneous spatial intensity was evaluated in an experiment performed with the illuminated surface of an actual biological object.
publishDate 2015
dc.date.none.fl_str_mv 2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/86161
url http://sedici.unlp.edu.ar/handle/10915/86161
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1875-6891
info:eu-repo/semantics/altIdentifier/doi/10.1080/18756891.2015.1129589
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0/
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.format.none.fl_str_mv application/pdf
28-40
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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