Spectral estimation of terahertz time-domain signals using a simple parametric method

Autores
Sanjuan, Federico Ezequiel; Galarza, Cecilia Gabriela
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A simple method for spectral estimation of terahertz signals using an autoregressive model is developed. The technique shows a better spectral variance and resolution over the use of the Fast Fourier Transform, which is commonly utilised in this kind of signal. The results are validated comparing the water vapour absorption lines and the standard deviation of a set of 24 measurements between methods. As a consequence of improving the signal variance, a better signal-to-noise ratio is achieved without enhancing the experiment. Such result also produces an increase in the signal bandwidth and less error when optical parameters are estimated.
Fil: Sanjuan, Federico Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Fil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Materia
Fast Fourier Transforms
Signal Processing
Fourier Transforms
Time-Domain Analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/46698
Acceder
id CONICETDig_7399ac591fbcb622c892e66476dc1303
oai_identifier_str oai:ri.conicet.gov.ar:11336/46698
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Spectral estimation of terahertz time-domain signals using a simple parametric methodSanjuan, Federico EzequielGalarza, Cecilia GabrielaFast Fourier TransformsSignal ProcessingFourier TransformsTime-Domain Analysishttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2A simple method for spectral estimation of terahertz signals using an autoregressive model is developed. The technique shows a better spectral variance and resolution over the use of the Fast Fourier Transform, which is commonly utilised in this kind of signal. The results are validated comparing the water vapour absorption lines and the standard deviation of a set of 24 measurements between methods. As a consequence of improving the signal variance, a better signal-to-noise ratio is achieved without enhancing the experiment. Such result also produces an increase in the signal bandwidth and less error when optical parameters are estimated.Fil: Sanjuan, Federico Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaFil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; ArgentinaInstitution of Engineering and Technology2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/46698Sanjuan, Federico Ezequiel; Galarza, Cecilia Gabriela; Spectral estimation of terahertz time-domain signals using a simple parametric method; Institution of Engineering and Technology; Electronics Letters; 51; 25; 12-2015; 2130-21320013-51941350-911XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7355494/info:eu-repo/semantics/altIdentifier/doi/10.1049/el.2015.2955info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:06:59Zoai:ri.conicet.gov.ar:11336/46698instacron: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 10:06:59.795CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Spectral estimation of terahertz time-domain signals using a simple parametric method
title Spectral estimation of terahertz time-domain signals using a simple parametric method
spellingShingle Spectral estimation of terahertz time-domain signals using a simple parametric method
Sanjuan, Federico Ezequiel
Fast Fourier Transforms
Signal Processing
Fourier Transforms
Time-Domain Analysis
title_short Spectral estimation of terahertz time-domain signals using a simple parametric method
title_full Spectral estimation of terahertz time-domain signals using a simple parametric method
title_fullStr Spectral estimation of terahertz time-domain signals using a simple parametric method
title_full_unstemmed Spectral estimation of terahertz time-domain signals using a simple parametric method
title_sort Spectral estimation of terahertz time-domain signals using a simple parametric method
dc.creator.none.fl_str_mv Sanjuan, Federico Ezequiel
Galarza, Cecilia Gabriela
author Sanjuan, Federico Ezequiel
author_facet Sanjuan, Federico Ezequiel
Galarza, Cecilia Gabriela
author_role author
author2 Galarza, Cecilia Gabriela
author2_role author
dc.subject.none.fl_str_mv Fast Fourier Transforms
Signal Processing
Fourier Transforms
Time-Domain Analysis
topic Fast Fourier Transforms
Signal Processing
Fourier Transforms
Time-Domain Analysis
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A simple method for spectral estimation of terahertz signals using an autoregressive model is developed. The technique shows a better spectral variance and resolution over the use of the Fast Fourier Transform, which is commonly utilised in this kind of signal. The results are validated comparing the water vapour absorption lines and the standard deviation of a set of 24 measurements between methods. As a consequence of improving the signal variance, a better signal-to-noise ratio is achieved without enhancing the experiment. Such result also produces an increase in the signal bandwidth and less error when optical parameters are estimated.
Fil: Sanjuan, Federico Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
Fil: Galarza, Cecilia Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina
description A simple method for spectral estimation of terahertz signals using an autoregressive model is developed. The technique shows a better spectral variance and resolution over the use of the Fast Fourier Transform, which is commonly utilised in this kind of signal. The results are validated comparing the water vapour absorption lines and the standard deviation of a set of 24 measurements between methods. As a consequence of improving the signal variance, a better signal-to-noise ratio is achieved without enhancing the experiment. Such result also produces an increase in the signal bandwidth and less error when optical parameters are estimated.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
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/11336/46698
Sanjuan, Federico Ezequiel; Galarza, Cecilia Gabriela; Spectral estimation of terahertz time-domain signals using a simple parametric method; Institution of Engineering and Technology; Electronics Letters; 51; 25; 12-2015; 2130-2132
0013-5194
1350-911X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/46698
identifier_str_mv Sanjuan, Federico Ezequiel; Galarza, Cecilia Gabriela; Spectral estimation of terahertz time-domain signals using a simple parametric method; Institution of Engineering and Technology; Electronics Letters; 51; 25; 12-2015; 2130-2132
0013-5194
1350-911X
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://ieeexplore.ieee.org/document/7355494/
info:eu-repo/semantics/altIdentifier/doi/10.1049/el.2015.2955
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institution of Engineering and Technology
publisher.none.fl_str_mv Institution of Engineering and Technology
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
_version_ 1844613924783128576
score 13.070432

Publicaciones similares