Expanding Window Compressed Sensing for Non-Uniform Compressible Signals
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Liu, Yu | - |
dc.contributor.author | Zhu, Xuqi | - |
dc.contributor.author | Zhang, Lin | - |
dc.contributor.author | Cho, Sung Ho | - |
dc.date.accessioned | 2022-07-16T13:31:54Z | - |
dc.date.available | 2022-07-16T13:31:54Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2012-10 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/164579 | - |
dc.description.abstract | Many practical compressible signals like image signals or the networked data in wireless sensor networks have non-uniform support distribution in their sparse representation domain. Utilizing this prior information, a novel compressed sensing (CS) scheme with unequal protection capability is proposed in this paper by introducing a windowing strategy called expanding window compressed sensing (EW-CS). According to the importance of different parts of the signal, the signal is divided into several nested subsets, i.e., the expanding windows. Each window generates its own measurements using a random sensing matrix. The more significant elements are contained by more windows, so they are captured by more measurements. This design makes the EW-CS scheme have more convenient implementation and better overall recovery quality for non-uniform compressible signals than ordinary CS schemes. These advantages are theoretically analyzed and experimentally confirmed. Moreover, the EW-CS scheme is applied to the compressed acquisition of image signals and networked data where it also has superior performance than ordinary CS and the existing unequal protection CS schemes. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.title | Expanding Window Compressed Sensing for Non-Uniform Compressible Signals | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Cho, Sung Ho | - |
dc.identifier.doi | 10.3390/s121013034 | - |
dc.identifier.scopusid | 2-s2.0-84868222546 | - |
dc.identifier.wosid | 000310507800009 | - |
dc.identifier.bibliographicCitation | SENSORS, v.12, no.10, pp.13034 - 13057 | - |
dc.relation.isPartOf | SENSORS | - |
dc.citation.title | SENSORS | - |
dc.citation.volume | 12 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 13034 | - |
dc.citation.endPage | 13057 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.subject.keywordPlus | RECOVERY | - |
dc.subject.keywordPlus | Compressed sensing | - |
dc.subject.keywordPlus | Image compression | - |
dc.subject.keywordPlus | Wireless sensor networks | - |
dc.subject.keywordAuthor | compressed sensing | - |
dc.subject.keywordAuthor | image compression | - |
dc.subject.keywordAuthor | networked data | - |
dc.subject.keywordAuthor | non-uniform compressible signal | - |
dc.subject.keywordAuthor | random projection | - |
dc.subject.keywordAuthor | unequal protection | - |
dc.identifier.url | https://www.mdpi.com/1424-8220/12/10/13034 | - |
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