Compressive sensing: A methodological approach to an efficient signal processing

Compressive Sensing (CS) is a new paradigm for signal acquisition and processing, which integrates sampling, compression, dimensionality reduction and optimization, which has caught the attention of a many researchers; SC allows the reconstruction of dispersed signals in a given domain from a set of...

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Autores:
Astaiza Hoyos, Evelio
Jojoa Gómez, Pablo Emilio
Bermúdez Orozco, Héctor Fabio
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60675
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60675
http://bdigital.unal.edu.co/59007/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Compressive Sensing
Sampling
Compression
Optimization
Signal Processing
Methodology
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Astaiza Hoyos, Evelio8f7eabfa-93a2-40c7-b3d6-8c99741b5b2a300Jojoa Gómez, Pablo Emilioa67a5946-19e7-4bd2-a18c-c06e2276d9ae300Bermúdez Orozco, Héctor Fabio5d24337e-c840-4fd3-ac98-ec9a3a9b81043002019-07-02T18:51:31Z2019-07-02T18:51:31Z2015-07-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60675http://bdigital.unal.edu.co/59007/Compressive Sensing (CS) is a new paradigm for signal acquisition and processing, which integrates sampling, compression, dimensionality reduction and optimization, which has caught the attention of a many researchers; SC allows the reconstruction of dispersed signals in a given domain from a set of measurements could be described as incomplete, due to that the rate at which the signal is sampled is much smaller than Nyquist's rate. This article presents an approach to address methodological issues in the field of processing signals from the perspective of SC.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/45512Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaAstaiza Hoyos, Evelio and Jojoa Gómez, Pablo Emilio and Bermúdez Orozco, Héctor Fabio (2015) Compressive sensing: A methodological approach to an efficient signal processing. DYNA, 82 (192). pp. 203-210. ISSN 2346-218362 Ingeniería y operaciones afines / EngineeringCompressive SensingSamplingCompressionOptimizationSignal ProcessingMethodologyCompressive sensing: A methodological approach to an efficient signal processingArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL45512-257622-1-PB.pdfapplication/pdf708083https://repositorio.unal.edu.co/bitstream/unal/60675/1/45512-257622-1-PB.pdf3d57c96e76c8c0268f370082ee5af1a7MD51THUMBNAIL45512-257622-1-PB.pdf.jpg45512-257622-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9425https://repositorio.unal.edu.co/bitstream/unal/60675/2/45512-257622-1-PB.pdf.jpgd478f88e46644a12683527737ae3fb03MD52unal/60675oai:repositorio.unal.edu.co:unal/606752024-04-14 23:11:29.977Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Compressive sensing: A methodological approach to an efficient signal processing
title Compressive sensing: A methodological approach to an efficient signal processing
spellingShingle Compressive sensing: A methodological approach to an efficient signal processing
62 Ingeniería y operaciones afines / Engineering
Compressive Sensing
Sampling
Compression
Optimization
Signal Processing
Methodology
title_short Compressive sensing: A methodological approach to an efficient signal processing
title_full Compressive sensing: A methodological approach to an efficient signal processing
title_fullStr Compressive sensing: A methodological approach to an efficient signal processing
title_full_unstemmed Compressive sensing: A methodological approach to an efficient signal processing
title_sort Compressive sensing: A methodological approach to an efficient signal processing
dc.creator.fl_str_mv Astaiza Hoyos, Evelio
Jojoa Gómez, Pablo Emilio
Bermúdez Orozco, Héctor Fabio
dc.contributor.author.spa.fl_str_mv Astaiza Hoyos, Evelio
Jojoa Gómez, Pablo Emilio
Bermúdez Orozco, Héctor Fabio
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Compressive Sensing
Sampling
Compression
Optimization
Signal Processing
Methodology
dc.subject.proposal.spa.fl_str_mv Compressive Sensing
Sampling
Compression
Optimization
Signal Processing
Methodology
description Compressive Sensing (CS) is a new paradigm for signal acquisition and processing, which integrates sampling, compression, dimensionality reduction and optimization, which has caught the attention of a many researchers; SC allows the reconstruction of dispersed signals in a given domain from a set of measurements could be described as incomplete, due to that the rate at which the signal is sampled is much smaller than Nyquist's rate. This article presents an approach to address methodological issues in the field of processing signals from the perspective of SC.
publishDate 2015
dc.date.issued.spa.fl_str_mv 2015-07-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T18:51:31Z
dc.date.available.spa.fl_str_mv 2019-07-02T18:51:31Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2346-2183
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dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/59007/
identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/60675
http://bdigital.unal.edu.co/59007/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/dyna/article/view/45512
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Astaiza Hoyos, Evelio and Jojoa Gómez, Pablo Emilio and Bermúdez Orozco, Héctor Fabio (2015) Compressive sensing: A methodological approach to an efficient signal processing. DYNA, 82 (192). pp. 203-210. ISSN 2346-2183
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas.
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/60675/1/45512-257622-1-PB.pdf
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repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
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