| 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 | |
In this paper, we propose an adaptive algorithm for sparse identification. The algorithm is based on diagonal loading, reweighting, and coordinate descent iterations. Simulation results show that the algorithm has performance close to the performance of the oracle RLS algorithm with perfect knowledge of the support and yet has as low complexity as O(N) operations per sample, where N is the filter length. (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 |