DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Dongeun | ko |
dc.contributor.author | Choi, Jaesik | ko |
dc.contributor.author | Shin, Heonshik | ko |
dc.date.accessioned | 2019-10-11T01:20:37Z | - |
dc.date.available | 2019-10-11T01:20:37Z | - |
dc.date.created | 2019-10-10 | - |
dc.date.created | 2019-10-10 | - |
dc.date.created | 2019-10-10 | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | IEICE ELECTRONICS EXPRESS, v.11, no.3 | - |
dc.identifier.issn | 1349-2543 | - |
dc.identifier.uri | http://hdl.handle.net/10203/267907 | - |
dc.description.abstract | Compressive sensing (CS) with sparse random matrix for the random sensing basis reduces source coding complexity of sensing devices. We propose a downsampling scheme to this framework in order to further reduce the complexity and improve coding efficiency simultaneously. As a result, our scheme can deliver significant gains to a wide variety of resource-constrained sensors. Experimental results show that the computational complexity decreases by 99.95% compared to other CS framework with dense random measurements. Furthermore, bit-rate can be saved up to 46.29%, by which less bandwidth is consumed. | - |
dc.language | English | - |
dc.publisher | IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG | - |
dc.title | Low-complexity compressive sensing with downsampling | - |
dc.type | Article | - |
dc.identifier.wosid | 000333894200006 | - |
dc.identifier.scopusid | 2-s2.0-84896863744 | - |
dc.type.rims | ART | - |
dc.citation.volume | 11 | - |
dc.citation.issue | 3 | - |
dc.citation.publicationname | IEICE ELECTRONICS EXPRESS | - |
dc.identifier.doi | 10.1587/elex.11.20130947 | - |
dc.contributor.localauthor | Choi, Jaesik | - |
dc.contributor.nonIdAuthor | Lee, Dongeun | - |
dc.contributor.nonIdAuthor | Shin, Heonshik | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | compressive sensing | - |
dc.subject.keywordAuthor | downsampling | - |
dc.subject.keywordAuthor | sparse random matrix | - |
dc.subject.keywordAuthor | low-complexity | - |
dc.subject.keywordAuthor | sparse signal recovery | - |
dc.subject.keywordPlus | ALGORITHM | - |
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