Name
Abstract | ||
|---|---|---|
The article describes recent adaptive estimation algorithms over distributed networks. The algorithms rely on local collaborations and exploit the space-time structure of the data. Each node is allowed to communicate with its neighbors in order to exploit the spatial dimension, while it also evolves locally to account for the time dimension. Algorithms of the least-mean-squares and least-squares types are described. Both incremental and diffusion strategies are considered. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1093/ietfec/e90-a.8.1504 | IEICE Transactions |
Keywords | Field | DocType |
recent adaptive estimation algorithm,adaptive processing,local collaboration,space-time structure,spatial dimension,diffusion strategy,least-squares type,time dimension,cooperation,collaboration,distributed processing,energy conservation,diffusion,mean square error,adaptive filtering | Energy conservation,Computer science,Mean squared error,Exploit,Theoretical computer science,Adaptive filter,Artificial intelligence,Multiple time dimensions | Journal |
Volume | Issue | ISSN |
E90-A | 8 | 0916-8508 |
Citations | PageRank | References |
50 | 5.24 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali H. Sayed | 1 | 9134 | 667.71 |
| Cássio Guimarães Lopes | 2 | 394 | 32.32 |