Expanding Window Compressed Sensing for Non-Uniform Compressible Signals
- Title
- Expanding Window Compressed Sensing for Non-Uniform Compressible Signals
- Author
- 조성호
- Keywords
- compressed sensing; image compression; networked data; non-uniform compressible signal; random projection; unequal protection
- Issue Date
- 2012-10
- Publisher
- MDPI AG
- Citation
- Sensors, 2012, 12(10), pp.13034 - 13057
- 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.
- URI
- http://www.mdpi.com/1424-8220/12/10/13034/htmhttp://hdl.handle.net/20.500.11754/67738
- ISSN
- 1424-8220
- DOI
- 10.3390/s121013034
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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