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dc.contributor.author Harding, Brian J.
dc.contributor.author Milla, Marco
dc.date.accessioned 2018-06-28T14:13:29Z
dc.date.available 2018-06-28T14:13:29Z
dc.date.issued 2013-10
dc.identifier.citation Harding, B. J., & Milla, M. (2013). Radar imaging with compressed sensing.==$Radio Science, 48$==(5), 582-588. https://doi.org/10.1002/rds.20063 es_ES
dc.identifier.govdoc index-oti2018
dc.identifier.uri http://hdl.handle.net/20.500.12816/1563
dc.description.abstract A novel technique for radar-imaging inversions is proposed which leverages ideas from the emerging field of compressed sensing. This new method takes advantage of the transform sparsity inherent in natural images. Theoretical recovery results are promising and are borne out by simulations in which this technique outperforms Capon’s method and the Maximum Entropy method. Preliminary results using data collected at the Jicamarca Radio Observatory are also presented. es_ES
dc.format application/pdf es_ES
dc.language.iso eng es_ES
dc.publisher American Geophysical Union es_ES
dc.relation.ispartof urn:issn:0048-6604
dc.rights info:eu-repo/semantics/restrictedAccess es_ES
dc.subject Radar imaging es_ES
dc.subject Compressed sensing es_ES
dc.subject Ionosphere es_ES
dc.title Radar imaging with compressed sensing es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#1.05.01 es_ES
dc.identifier.journal Radio Science es_ES
dc.description.peer-review Por pares es_ES
dc.identifier.doi https://doi.org/10.1002/rds.20063 es_ES

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