Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조성호 | - |
dc.date.accessioned | 2018-04-16T04:01:41Z | - |
dc.date.available | 2018-04-16T04:01:41Z | - |
dc.date.issued | 2012-10 | - |
dc.identifier.citation | Sensors, 2012, 12(10), pp.13034 - 13057 | en_US |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://www.mdpi.com/1424-8220/12/10/13034/htm | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/67738 | - |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | This work is partially supported by National Science Foundation of China (No. 61201149), the 111 Project (No. B08004), and the Fundamental Research Funds for the Central Universities. This work is also supported (in part) by Korea Evaluation Institute of Industrial Technology (KEIT), under the R&D support program of Ministry of Knowledge Economy, Korea. | en_US |
dc.language.iso | en | en_US |
dc.publisher | MDPI AG | en_US |
dc.subject | compressed sensing | en_US |
dc.subject | image compression | en_US |
dc.subject | networked data | en_US |
dc.subject | non-uniform compressible signal | en_US |
dc.subject | random projection | en_US |
dc.subject | unequal protection | en_US |
dc.title | Expanding Window Compressed Sensing for Non-Uniform Compressible Signals | en_US |
dc.type | Article | en_US |
dc.relation.no | 10 | - |
dc.relation.volume | 12 | - |
dc.identifier.doi | 10.3390/s121013034 | - |
dc.relation.page | 13034-13057 | - |
dc.relation.journal | SENSORS | - |
dc.contributor.googleauthor | Liu, Yu | - |
dc.contributor.googleauthor | Zhu, Xuqi | - |
dc.contributor.googleauthor | Zhang, Lin | - |
dc.contributor.googleauthor | Cho, Sung Ho | - |
dc.relation.code | 2012213795 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | dragon | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.