Compressive Sensing for Inverse Scattering
Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (...
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| Other Authors: | , , , , |
| Format: | article |
| Language: | English |
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2008
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| Online Access: | http://ridda2.utp.ac.pa/handle/123456789/2413 |
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| _version_ | 1869652474664583169 |
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| author | Marengo, Edwin A. |
| author2 | Hernández, R. D. Citron, Y. R. Gruber, F. K. Zambrano, M. Lev-Ari, H. |
| author2_role | author author author author author |
| author_browse | Citron, Y. R. Gruber, F. K. Hernández, R. D. Lev-Ari, H. Marengo, Edwin A. Zambrano, M. |
| author_facet | Marengo, Edwin A. Hernández, R. D. Citron, Y. R. Gruber, F. K. Zambrano, M. Lev-Ari, H. |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Marengo, Edwin A. Hernández, R. D. Citron, Y. R. Gruber, F. K. Zambrano, M. Lev-Ari, H. |
| dc.date.none.fl_str_mv | 2008-06-30 2008-06-30 2017-08-01T20:56:15Z 2017-08-01T20:56:15Z 2017-08-01T20:56:15Z 2017-08-01T20:56:15Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://ridda2.utp.ac.pa/handle/123456789/2413 http://ridda2.utp.ac.pa/handle/123456789/2413 |
| dc.language.none.fl_str_mv | eng eng |
| dc.rights.none.fl_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | inverse scattering signal processing random linear projection applied mathematics compressive measurement sparse representation new field known basis compressive sensing original signal linear programming subsequent recovery compress signal inverse scattering signal processing random linear projection applied mathematics compressive measurement sparse representation new field known basis compressive sensing original signal linear programming subsequent recovery compress signal |
| dc.title.none.fl_str_mv | Compressive Sensing for Inverse Scattering |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (P) time) of the original signals with low or no error [1–3]. Compressive measurements or samples are non-adaptive, possibly random linear projections |
| eu_rights_str_mv | openAccess |
| format | article |
| id | lrtest_c3a82dd7eae262ddcaee383e46190c5b |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/2413 |
| publishDate | 2008 |
| publishDateSort | 2008 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | https://creativecommons.org/licenses/by-nc-sa/4.0/ |
| spelling | Compressive Sensing for Inverse ScatteringMarengo, Edwin A.Hernández, R. D.Citron, Y. R.Gruber, F. K.Zambrano, M.Lev-Ari, H.inverse scatteringsignal processingrandom linear projectionapplied mathematicscompressive measurementsparse representationnew fieldknown basiscompressive sensingoriginal signallinear programmingsubsequent recoverycompress signal inverse scatteringsignal processingrandom linear projectionapplied mathematicscompressive measurementsparse representationnew fieldknown basiscompressive sensingoriginal signallinear programmingsubsequent recoverycompress signal Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (P) time) of the original signals with low or no error [1–3]. Compressive measurements or samples are non-adaptive, possibly random linear projectionsCompressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (P) time) of the original signals with low or no error [1–3]. Compressive measurements or samples are non-adaptive, possibly random linear projections2017-08-01T20:56:15Z2017-08-01T20:56:15Z2017-08-01T20:56:15Z2017-08-01T20:56:15Z2008-06-302008-06-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://ridda2.utp.ac.pa/handle/123456789/2413http://ridda2.utp.ac.pa/handle/123456789/2413engenghttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/24132021-07-06T15:34:52Z |
| spellingShingle | Compressive Sensing for Inverse Scattering Marengo, Edwin A. inverse scattering signal processing random linear projection applied mathematics compressive measurement sparse representation new field known basis compressive sensing original signal linear programming subsequent recovery compress signal inverse scattering signal processing random linear projection applied mathematics compressive measurement sparse representation new field known basis compressive sensing original signal linear programming subsequent recovery compress signal |
| status_str | publishedVersion |
| title | Compressive Sensing for Inverse Scattering |
| title_full | Compressive Sensing for Inverse Scattering |
| title_fullStr | Compressive Sensing for Inverse Scattering |
| title_full_unstemmed | Compressive Sensing for Inverse Scattering |
| title_short | Compressive Sensing for Inverse Scattering |
| title_sort | Compressive Sensing for Inverse Scattering |
| topic | inverse scattering signal processing random linear projection applied mathematics compressive measurement sparse representation new field known basis compressive sensing original signal linear programming subsequent recovery compress signal inverse scattering signal processing random linear projection applied mathematics compressive measurement sparse representation new field known basis compressive sensing original signal linear programming subsequent recovery compress signal |
| url | http://ridda2.utp.ac.pa/handle/123456789/2413 |