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dc.contributor.authorRambeloarison, Muriel L.
dc.contributor.authorFeizi-Khankandi, Soheil
dc.contributor.authorAngelopoulos, Georgios
dc.contributor.authorMedard, Muriel
dc.date.accessioned2014-09-26T18:33:28Z
dc.date.available2014-09-26T18:33:28Z
dc.date.issued2012-11
dc.identifier.isbn978-1-4673-5051-8
dc.identifier.isbn978-1-4673-5050-1
dc.identifier.isbn978-1-4673-5049-5
dc.identifier.issn1058-6393
dc.identifier.urihttp://hdl.handle.net/1721.1/90414
dc.description.abstractIn this paper, we present an empirical rate-distortion study of a communication scheme that uses compressive sensing (CS) as joint source-channel coding. We investigate the rate-distortion behavior of both point-to-point and distributed cases. First, we propose an efficient algorithm to find the I[subscript 1]-regularization parameter that is required by the Least Absolute Shrinkage and Selection Operator which we use as a CS decoder. We then show that, for a point-to-point channel, the rate distortion follows two distinct regimes: the first one corresponds to an almost constant distortion, and the second one to a rapid distortion degradation, as a function of rate. This constant distortion increases with both increasing channel noise level and sparsity level, but at a different gradient depending on the distortion measure. In the distributed case, we investigate the rate-distortion behavior when sources have temporal and spatial dependencies. We show that, taking advantage of both spatial and temporal correlations over merely considering the temporal correlation between the signals allows us to achieve an average of a factor of approximately 2.5× improvement in the rate-distortion behavior of the joint source-channel coding scheme.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ACSSC.2012.6489217en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleEmpirical rate-distortion study of compressive sensing-based joint source-channel codingen_US
dc.typeArticleen_US
dc.identifier.citationRambeloarison, Muriel L., Soheil Feizi, Georgios Angelopoulos, and Muriel Medard. “Empirical Rate-Distortion Study of Compressive Sensing-Based Joint Source-Channel Coding.” 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR) (November 2012).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.mitauthorRambeloarison, Muriel L.en_US
dc.contributor.mitauthorFeizi-Khankandi, Soheilen_US
dc.contributor.mitauthorAngelopoulos, Georgiosen_US
dc.contributor.mitauthorMedard, Murielen_US
dc.relation.journalProceedings of the 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsRambeloarison, Muriel L.; Feizi, Soheil; Angelopoulos, Georgios; Medard, Murielen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0964-0616
dc.identifier.orcidhttps://orcid.org/0000-0003-4059-407X
dc.identifier.orcidhttps://orcid.org/0000-0001-7898-8352
dspace.mitauthor.errortrue
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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