A Compressed Sensing-Based Low-Density Parity-Check Real-Number Code

dc.contributor.authorHe, Zaixing
dc.contributor.authorOgawa, Takahiro
dc.contributor.authorHaseyama, Miki
dc.contributor.authorZhao, Xinyue
dc.contributor.authorZhang, Shuyou
dc.coverage.issue3cs
dc.coverage.volume22cs
dc.date.accessioned2015-01-21T11:47:03Z
dc.date.available2015-01-21T11:47:03Z
dc.date.issued2013-09cs
dc.description.abstractIn this paper, we propose a novel low-density parity-check real-number code, based on compressed sensing. A real-valued message is encoded by a coding matrix (with more rows than columns) and transmitted over an erroneous channel, where sparse errors (impulsive noise) corrupt the codeword. In the decoding procedure, we apply a structured sparse (low-density) parity-check matrix, the Permuted Block Diagonal matrix, to the corrupted output, and the errors can be corrected by solving a compressed sensing problem. A compressed sensing algorithm, Cross Low-dimensional Pursuit, is used to decode the code by solving this compressed sensing problem. The proposed code has high error correction performance and decoding efficiency. The comparative experimental results demonstrate both advantages of our code. We also apply our code to cryptography.en
dc.formattextcs
dc.format.extent851-860cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2013, vol. 22, č. 3, s. 851-860. issn 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/36936
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2013/13_03_0851_0860.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectReal-number error correcting codesen
dc.subjectcompressed sensingen
dc.subjectsparse recoveryen
dc.subjectcross low-dimensional pursuiten
dc.subjectcryptography.en
dc.titleA Compressed Sensing-Based Low-Density Parity-Check Real-Number Codeen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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