Spectrum estimation using frequency shifting and decimation
- Autores
- Albert, Raymundo Jose; Galarza, Cecilia Gabriela
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Parametric spectral estimation techniques are widely used to estimate the parameters of sums of complex sinusoids corrupted by noise. In this work, we show that the numerical stability of the estimated frequencies not only depends on the size of the amplitudes associated to the real frequencies, but also to the distance among frequencies. Therefore, for closely spaced frequencies, the estimates are vulnerable to large deviate from their true values. To overcome this problem we propose a strategy to artificially increase the frequency separation by downsampling the base band equivalent of the noisy signal before applying a spectral estimation technique. This methodology significantly improves the estimation performance especially in the low signal to noise ratio regime. The performance of the technique is assessed in terms of the root mean square error and it is compared to results obtained in previous publications.
Fil: Albert, Raymundo Jose. 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
-
SPECTRUM ESTIMATION
MULTIRATE PROCESSING
NATURAL FREQUENCIES - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/155659
Ver los metadatos del registro completo
id |
CONICETDig_44b4d39c64f3ac848a45c9a8d1016be3 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/155659 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Spectrum estimation using frequency shifting and decimationAlbert, Raymundo JoseGalarza, Cecilia GabrielaSPECTRUM ESTIMATIONMULTIRATE PROCESSINGNATURAL FREQUENCIEShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Parametric spectral estimation techniques are widely used to estimate the parameters of sums of complex sinusoids corrupted by noise. In this work, we show that the numerical stability of the estimated frequencies not only depends on the size of the amplitudes associated to the real frequencies, but also to the distance among frequencies. Therefore, for closely spaced frequencies, the estimates are vulnerable to large deviate from their true values. To overcome this problem we propose a strategy to artificially increase the frequency separation by downsampling the base band equivalent of the noisy signal before applying a spectral estimation technique. This methodology significantly improves the estimation performance especially in the low signal to noise ratio regime. The performance of the technique is assessed in terms of the root mean square error and it is compared to results obtained in previous publications.Fil: Albert, Raymundo Jose. 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 Technology2020-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/155659Albert, Raymundo Jose; Galarza, Cecilia Gabriela; Spectrum estimation using frequency shifting and decimation; Institution of Engineering and Technology; Iet Signal Processing; 14; 3; 4-2020; 134-1411751-9675CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0306info:eu-repo/semantics/altIdentifier/doi/10.1049/iet-spr.2019.0306info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:23:12Zoai:ri.conicet.gov.ar:11336/155659instacron: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 10:23:13.086CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Spectrum estimation using frequency shifting and decimation |
title |
Spectrum estimation using frequency shifting and decimation |
spellingShingle |
Spectrum estimation using frequency shifting and decimation Albert, Raymundo Jose SPECTRUM ESTIMATION MULTIRATE PROCESSING NATURAL FREQUENCIES |
title_short |
Spectrum estimation using frequency shifting and decimation |
title_full |
Spectrum estimation using frequency shifting and decimation |
title_fullStr |
Spectrum estimation using frequency shifting and decimation |
title_full_unstemmed |
Spectrum estimation using frequency shifting and decimation |
title_sort |
Spectrum estimation using frequency shifting and decimation |
dc.creator.none.fl_str_mv |
Albert, Raymundo Jose Galarza, Cecilia Gabriela |
author |
Albert, Raymundo Jose |
author_facet |
Albert, Raymundo Jose Galarza, Cecilia Gabriela |
author_role |
author |
author2 |
Galarza, Cecilia Gabriela |
author2_role |
author |
dc.subject.none.fl_str_mv |
SPECTRUM ESTIMATION MULTIRATE PROCESSING NATURAL FREQUENCIES |
topic |
SPECTRUM ESTIMATION MULTIRATE PROCESSING NATURAL FREQUENCIES |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Parametric spectral estimation techniques are widely used to estimate the parameters of sums of complex sinusoids corrupted by noise. In this work, we show that the numerical stability of the estimated frequencies not only depends on the size of the amplitudes associated to the real frequencies, but also to the distance among frequencies. Therefore, for closely spaced frequencies, the estimates are vulnerable to large deviate from their true values. To overcome this problem we propose a strategy to artificially increase the frequency separation by downsampling the base band equivalent of the noisy signal before applying a spectral estimation technique. This methodology significantly improves the estimation performance especially in the low signal to noise ratio regime. The performance of the technique is assessed in terms of the root mean square error and it is compared to results obtained in previous publications. Fil: Albert, Raymundo Jose. 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 |
Parametric spectral estimation techniques are widely used to estimate the parameters of sums of complex sinusoids corrupted by noise. In this work, we show that the numerical stability of the estimated frequencies not only depends on the size of the amplitudes associated to the real frequencies, but also to the distance among frequencies. Therefore, for closely spaced frequencies, the estimates are vulnerable to large deviate from their true values. To overcome this problem we propose a strategy to artificially increase the frequency separation by downsampling the base band equivalent of the noisy signal before applying a spectral estimation technique. This methodology significantly improves the estimation performance especially in the low signal to noise ratio regime. The performance of the technique is assessed in terms of the root mean square error and it is compared to results obtained in previous publications. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-04 |
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/11336/155659 Albert, Raymundo Jose; Galarza, Cecilia Gabriela; Spectrum estimation using frequency shifting and decimation; Institution of Engineering and Technology; Iet Signal Processing; 14; 3; 4-2020; 134-141 1751-9675 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/155659 |
identifier_str_mv |
Albert, Raymundo Jose; Galarza, Cecilia Gabriela; Spectrum estimation using frequency shifting and decimation; Institution of Engineering and Technology; Iet Signal Processing; 14; 3; 4-2020; 134-141 1751-9675 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://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0306 info:eu-repo/semantics/altIdentifier/doi/10.1049/iet-spr.2019.0306 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
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_ |
1844614226389237760 |
score |
13.070432 |