| Research Title |
Hard Selective Reweighted l1-minimization for Compressive Sampling Recovery |
| Date of Distribution |
29 October 2009 |
| Conference |
| Title of the Conference |
32nd Electrical Engineering Conforence |
| Organiser |
มหาวิทยาลัยมหิดล |
| Conference Place |
โรงแรมทวาราวดี รีสอร์ท |
| Province/State |
ปราจีนบุรี |
| Conference Date |
28 October 2009 |
| To |
30 October 2009 |
| Proceeding Paper |
| Volume |
- |
| Issue |
- |
| Page |
1079-1082 |
| Editors/edition/publisher |
- |
| Abstract |
Sparsity is common in scientific and engineering problems. On technique as known compressive sampling, l1-minimization is a convenient reconstruction algorithm. However, this optimization could not recover the true signal for all sparsity. So far reweighted l1-minimization algorithm has been proposed to enhance signal recovery and showed a surprised result, but how to specify weighting value is still questionable. This problem is coped with by the new proposed Hard Selective Reweighted (HSR) algorithm which is an alternative algorithm to find appropriate weighting value for reweighted algorithm. The numerical results show that the percentage of exact reconstruction by HSR algorithm outperforming l1-minimization 8.73% on an average. |
| Author |
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| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
ชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
|
|
|
Publication
Journal Publication
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