A sparse spectrum technique for gridding and separating potential field anomalies

Autores
Guspi, Fernando Pedro Victor; Introcaso, Beatriz
Año de publicación
2000
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The discrete Fourier transform of a potential field, measured at stations irregularly distributed on a surface, is modeled by means of a high-resolution sparse estimate derived originally for seismic signal processing. The coefficients of this estimate produce a model with only few components having a significant value. A steepest-descent algorithm gives a computing alternative to large matrix multiplications and inversions.
Fil: Guspi, Fernando Pedro Victor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina
Fil: Introcaso, Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
Materia
Bayesian statistics
Separation of potential field anomalies
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/112784
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A sparse spectrum technique for gridding and separating potential field anomaliesGuspi, Fernando Pedro VictorIntrocaso, BeatrizBayesian statisticsSeparation of potential field anomalieshttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1The discrete Fourier transform of a potential field, measured at stations irregularly distributed on a surface, is modeled by means of a high-resolution sparse estimate derived originally for seismic signal processing. The coefficients of this estimate produce a model with only few components having a significant value. A steepest-descent algorithm gives a computing alternative to large matrix multiplications and inversions.Fil: Guspi, Fernando Pedro Victor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; ArgentinaFil: Introcaso, Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; ArgentinaSociety of Exploration Geophysicists2000-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/mswordapplication/pdfhttp://hdl.handle.net/11336/112784Guspi, Fernando Pedro Victor; Introcaso, Beatriz; A sparse spectrum technique for gridding and separating potential field anomalies; Society of Exploration Geophysicists; Geophysics; 65; 4; 7-2000; 1154-11610016-8033CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://library.seg.org/doi/abs/10.1190/1.1444808info:eu-repo/semantics/altIdentifier/doi/10.1190/1.1444808info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-06T13:02:55Zoai:ri.conicet.gov.ar:11336/112784instacron: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:34982026-02-06 13:02:56.19CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A sparse spectrum technique for gridding and separating potential field anomalies
title A sparse spectrum technique for gridding and separating potential field anomalies
spellingShingle A sparse spectrum technique for gridding and separating potential field anomalies
Guspi, Fernando Pedro Victor
Bayesian statistics
Separation of potential field anomalies
title_short A sparse spectrum technique for gridding and separating potential field anomalies
title_full A sparse spectrum technique for gridding and separating potential field anomalies
title_fullStr A sparse spectrum technique for gridding and separating potential field anomalies
title_full_unstemmed A sparse spectrum technique for gridding and separating potential field anomalies
title_sort A sparse spectrum technique for gridding and separating potential field anomalies
dc.creator.none.fl_str_mv Guspi, Fernando Pedro Victor
Introcaso, Beatriz
author Guspi, Fernando Pedro Victor
author_facet Guspi, Fernando Pedro Victor
Introcaso, Beatriz
author_role author
author2 Introcaso, Beatriz
author2_role author
dc.subject.none.fl_str_mv Bayesian statistics
Separation of potential field anomalies
topic Bayesian statistics
Separation of potential field anomalies
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The discrete Fourier transform of a potential field, measured at stations irregularly distributed on a surface, is modeled by means of a high-resolution sparse estimate derived originally for seismic signal processing. The coefficients of this estimate produce a model with only few components having a significant value. A steepest-descent algorithm gives a computing alternative to large matrix multiplications and inversions.
Fil: Guspi, Fernando Pedro Victor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina
Fil: Introcaso, Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
description The discrete Fourier transform of a potential field, measured at stations irregularly distributed on a surface, is modeled by means of a high-resolution sparse estimate derived originally for seismic signal processing. The coefficients of this estimate produce a model with only few components having a significant value. A steepest-descent algorithm gives a computing alternative to large matrix multiplications and inversions.
publishDate 2000
dc.date.none.fl_str_mv 2000-07
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/11336/112784
Guspi, Fernando Pedro Victor; Introcaso, Beatriz; A sparse spectrum technique for gridding and separating potential field anomalies; Society of Exploration Geophysicists; Geophysics; 65; 4; 7-2000; 1154-1161
0016-8033
CONICET Digital
CONICET
url http://hdl.handle.net/11336/112784
identifier_str_mv Guspi, Fernando Pedro Victor; Introcaso, Beatriz; A sparse spectrum technique for gridding and separating potential field anomalies; Society of Exploration Geophysicists; Geophysics; 65; 4; 7-2000; 1154-1161
0016-8033
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://library.seg.org/doi/abs/10.1190/1.1444808
info:eu-repo/semantics/altIdentifier/doi/10.1190/1.1444808
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/msword
application/pdf
dc.publisher.none.fl_str_mv Society of Exploration Geophysicists
publisher.none.fl_str_mv Society of Exploration Geophysicists
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 13.11174

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