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dc.contributor.authorMarengo, Edwin A.
dc.contributor.authorHernández, R. D.
dc.contributor.authorCitron, Y. R.
dc.contributor.authorGruber, F. K.
dc.contributor.authorZambrano, M.
dc.contributor.authorLev-Ari, H.
dc.date.accessioned2017-08-01T20:56:15Z
dc.date.accessioned2017-08-01T20:56:15Z
dc.date.available2017-08-01T20:56:15Z
dc.date.available2017-08-01T20:56:15Z
dc.date.issued2008-06-30
dc.date.issued2008-06-30
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/2413
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/2413
dc.descriptionCompressive 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 projectionsen_US
dc.description.abstractCompressive 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 projectionsen_US
dc.languageeng
dc.language.isoengen_US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectinverse scatteringen_US
dc.subjectsignal processingen_US
dc.subjectrandom linear projectionen_US
dc.subjectapplied mathematicsen_US
dc.subjectcompressive measurementen_US
dc.subjectsparse representationen_US
dc.subjectnew fielden_US
dc.subjectknown basisen_US
dc.subjectcompressive sensingen_US
dc.subjectoriginal signalen_US
dc.subjectlinear programmingen_US
dc.subjectsubsequent recoveryen_US
dc.subjectcompress signal en_US
dc.subjectinverse scattering
dc.subjectsignal processing
dc.subjectrandom linear projection
dc.subjectapplied mathematics
dc.subjectcompressive measurement
dc.subjectsparse representation
dc.subjectnew field
dc.subjectknown basis
dc.subjectcompressive sensing
dc.subjectoriginal signal
dc.subjectlinear programming
dc.subjectsubsequent recovery
dc.subjectcompress signal 
dc.titleCompressive Sensing for Inverse Scatteringen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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