Name
Abstract | ||
|---|---|---|
This letter describes a maximum likelihood distributed detector algorithm with a special initialization that yields an exponential decay rate on error probabilities in transient, using the adaptive diffusion least mean squares (LMS) algorithm in a distributed sensor network. The nodes that compose the network must decide between two concurrent hypotheses concerning the environment where they are i... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2018.2832029 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Detectors,Error probability,Maximum likelihood estimation,Transient analysis,Mathematical model,Maximum likelihood detection | Least mean squares filter,Mathematical optimization,Exponential function,Exponential decay,Algorithm,Maximum likelihood,Initialization,Wireless sensor network,Detector,Maximum likelihood detector,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 7 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Allan E. Feitosa | 1 | 0 | 0.68 |
| Vitor H. Nascimento | 2 | 163 | 30.26 |
| Cássio Guimarães Lopes | 3 | 394 | 32.32 |