Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/16755Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kähler, Uwe | pt |
| dc.contributor.author | Hartmann, Stefan | pt |
| dc.contributor.author | Gomes, Narciso | pt |
| dc.date.accessioned | 2017-02-07T14:41:01Z | - |
| dc.date.issued | 2017-02 | - |
| dc.identifier.issn | 1661-8254 | pt |
| dc.identifier.uri | http://hdl.handle.net/10773/16755 | - |
| dc.description.abstract | We study the problem of compressed sensing for quaternionic Fourier matrices as arising in color representation of images. We will show that such matrices are allowing a sparse reconstruction by means of an l1-minimization with high probability. Examples of sparse sampling of color images are provided. | pt |
| dc.language.iso | eng | pt |
| dc.publisher | Springer | pt |
| dc.relation | FCT - UID/MAT/0416/2013 | pt |
| dc.rights | restrictedAccess | por |
| dc.subject | Quaternionic signals | pt |
| dc.subject | Compressed sensing | pt |
| dc.subject | Sparsity constrains | pt |
| dc.title | Compressed sensing for quaternionic signals | pt |
| dc.type | article | pt |
| dc.peerreviewed | yes | pt |
| ua.distribution | international | pt |
| degois.publication.firstPage | 417 | pt |
| degois.publication.issue | 2 | pt |
| degois.publication.lastPage | 455 | pt |
| degois.publication.title | Complex Analysis and Operator Theory | pt |
| degois.publication.volume | 11 | pt |
| dc.date.embargo | 10000-01-01 | - |
| dc.identifier.doi | 10.1007/s11785-016-0607-7 | pt |
| Appears in Collections: | CIDMA - Artigos CHAG - Artigos | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| art%3A10.1007%2Fs11785-016-0607-7.pdf | Documento principal | 4.62 MB | Adobe PDF |  |
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