| Full text | |
| Author(s): |
Zakharov, Yuriy
;
Nascimento, Vitor H.
;
Matthews, MB
Total Authors: 3
|
| Document type: | Journal article |
| Source: | 2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR); v. N/A, p. 5-pg., 2012-01-01. |
| Abstract | |
We propose a computationally efficient technique for recovery of sparse signals, which is based on dichotomous coordinate descent iterations, homotopy, and reweighting. We derive optimal rules for adding and removing elements to/from the support, guaranteeing that the cost function is minimized. Numerical examples show that the proposed technique achieves a mean-squared error smaller than that of the YALLI algorithm and complexity comparable to that of the matched pursuit algorithm. (AU) | |
| FAPESP's process: | 12/50565-1 - Adaptive compressive sensing-aware techniques: desinf algorithms and applications |
| Grantee: | Vitor Heloiz Nascimento |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 11/06994-2 - Low-cost algorithms for acoustic signal processing |
| Grantee: | Vitor Heloiz Nascimento |
| Support Opportunities: | Regular Research Grants |