Name
Abstract | ||
|---|---|---|
This paper focuses on the reconstruction of the signal structure of a system in the presence of noise and nonlinearities. Previous results on polynomial time reconstruction in this area were restricted to systems where target specificity was part of the inherent structure, [5]. This work extends these results to all reconstructible systems and proposes a faster reconstruction algorithm along with an improved model selection procedure. Finally, a simulation study then details the performance of this new algorithm on reconstructible systems. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CDC.2013.6760369 | Decision and Control |
Keywords | Field | DocType |
computational complexity,signal reconstruction,improved model selection procedure,nonIinearities,polynomial time reconstruction,reconstructible systems,reconstruction algorithm,robust signal structure reconstruction | Mathematical optimization,Computer science,Model selection,Reconstruction algorithm,Time complexity,Signal reconstruction,Computational complexity theory | Conference |
ISSN | ISBN | Citations |
0743-1546 | 978-1-4673-5714-2 | 3 |
PageRank | References | Authors |
0.46 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vasu Chetty | 1 | 34 | 3.17 |
| David P. Hayden | 2 | 26 | 2.92 |
| Goncalves, J. | 3 | 404 | 42.24 |
| Sean Warnick | 4 | 198 | 25.76 |