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dc.contributor.authorKhosravy, Mahdi
dc.contributor.authorCabral, Thales Wulfert
dc.contributor.authorLuiz, Max Mateus
dc.contributor.authorGupta, Neeraj
dc.contributor.authorGonzález-Crespo, Rubén (1)
dc.date2021
dc.date.accessioned2022-01-14T10:16:32Z
dc.date.available2022-01-14T10:16:32Z
dc.identifier.issn1941-6237
dc.identifier.urihttps://reunir.unir.net/handle/123456789/12306
dc.description.abstractCompressive sensing has the ability of reconstruction of signal/image from the compressive measurements which are sensed with a much lower number of samples than a minimum requirement by Nyquist sampling theorem. The random acquisition is widely suggested and used for compressive sensing. In the random acquisition, the randomness of the sparsity structure has been deployed for compressive sampling of the signal/image. The article goes through all the literature up to date and collects the main methods, and simply described the way each of them randomly applies the compressive sensing. This article is a comprehensive review of random acquisition techniques in compressive sensing. Theses techniques have reviews under the main categories of (1) random demodulator, (2) random convolution, (3) modulated wideband converter model, (4) compressive multiplexer diagram, (5) random equivalent sampling, (6) random modulation pre-integration, (7) quadrature analog-to-information converter, (8) randomly triggered modulated-wideband compressive sensing (RT-MWCS).es_ES
dc.language.isoenges_ES
dc.publisherInternational journal of ambient computing and intelligencees_ES
dc.relation.ispartofseries;vol. 12, nº 3
dc.relation.urihttps://www.igi-global.com/gateway/article/279589es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectcompressive sensinges_ES
dc.subjectrandom acquisitiones_ES
dc.subjectrandom demodulationes_ES
dc.subjectsignal samplinges_ES
dc.subjectEmerginges_ES
dc.subjectScopuses_ES
dc.titleRandom Acquisition in Compressive Sensing: A Comprehensive Overviewes_ES
dc.typearticlees_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.4018/IJACI.2021070107


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