Wavelet-Based Compressive Sensing for Point Scatterers
| dc.contributor.author | Wilsenach, Gregory | |
| dc.contributor.author | Mishra, Amit Kumar | |
| dc.coverage.issue | 2 | cs |
| dc.coverage.volume | 24 | cs |
| dc.date.accessioned | 2015-06-29T13:04:52Z | |
| dc.date.available | 2015-06-29T13:04:52Z | |
| dc.date.issued | 2015-06 | cs |
| dc.description.abstract | Compressive Sensing (CS) allows for the sam-pling of signals at well below the Nyquist rate but does so, usually, at the cost of the suppression of lower amplitude sig-nal components. Recent work suggests that important infor-mation essential for recognizing targets in the radar context is contained in the side-lobes as well, which are often sup-pressed by CS. In this paper we extend existing techniques and introduce new techniques both for improving the accu-racy of CS reconstructions and for improving the separa-bility of scenes reconstructed using CS. We investigate the Discrete Wavelet Transform (DWT), and show how the use of the DWT as a representation basis may improve the accu-racy of reconstruction generally. Moreover, we introduce the concept of using multiple wavelet-based reconstructions of a scene, given only a single physical observation, to derive re-constructions that surpass even the best wavelet-based CS reconstructions. Lastly, we specifically consider the effect of the wavelet-based reconstruction on classification. This is done indirectly by comparing outputs of different algo-rithms using a variety of separability measures. We show that various wavelet-based CS reconstructions are substan-tially better than conventional CS approaches at inducing (or preserving) separability, and hence may be more useful in classification applications. | en |
| dc.format | text | cs |
| dc.format.extent | 621-631 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Radioengineering. 2015 vol. 24, č. 2, s. 621-631. ISSN 1210-2512 | cs |
| dc.identifier.doi | 10.13164/re.2015.0621 | en |
| dc.identifier.issn | 1210-2512 | |
| dc.identifier.uri | http://hdl.handle.net/11012/41865 | |
| dc.language.iso | en | cs |
| dc.publisher | Společnost pro radioelektronické inženýrství | cs |
| dc.relation.ispartof | Radioengineering | cs |
| dc.relation.uri | http://www.radioeng.cz/fulltexts/2015/15_02_0621_0631.pdf | cs |
| dc.rights | Creative Commons Attribution 3.0 Unported License | en |
| dc.rights.access | openAccess | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en |
| dc.subject | Compressive sensing | en |
| dc.subject | wavelet | en |
| dc.subject | radar | en |
| dc.subject | reconstruction | en |
| dc.subject | sparse scenes | en |
| dc.subject | filtering | en |
| dc.subject | point scatterers | en |
| dc.title | Wavelet-Based Compressive Sensing for Point Scatterers | en |
| dc.type.driver | article | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.faculty | Fakulta eletrotechniky a komunikačních technologií | cs |