Name
Abstract | ||
|---|---|---|
Diffusion adaptation techniques have shown great promise in addressing the problem of node-specific distributed estimation where the nodes in the network are interested in different, possibly overlapping, sets of parameters. In this work, node-specific distributed detection, which has remained largely unexamined, is considered. In particular, the problem is formulated as one of binary hypothesis t... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2017.2771731 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Indexes,Data models,Estimation,Algorithm design and analysis,Adaptive systems,Testing,Target tracking | Data modeling,Mathematical optimization,Algorithm design,Adaptive system,Algorithm,Distributed algorithm,Interference (wave propagation),Binary hypothesis testing,Detector,Mathematics,Diffusion adaptation | Journal |
Volume | Issue | ISSN |
66 | 3 | 1053-587X |
Citations | PageRank | References |
0 | 0.34 | 28 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sara Al-Sayed | 1 | 23 | 2.46 |
| Jorge Plata-Chaves | 2 | 115 | 9.92 |
| Michael Muma | 3 | 144 | 19.51 |
| Marc Moonen | 4 | 3673 | 326.91 |
| Abdelhak M. Zoubir | 5 | 1036 | 148.03 |