Name
Abstract | ||
|---|---|---|
Adaptive networks (ANs) rely on local adaptive filters (AFs) and a cooperation protocol to achieve a common goal, e.g., estimating a set of parameters. This protocol fuses the information from the rest of the network based on local combiners whose design impacts directly the network performance. Indeed, although diffusion schemes improve network performance on average, heterogeneity in signal statistics implies that indiscriminate cooperation may not be the best policy for good nodes. In this work, these observations lead to the introduction of different concepts of spatial universality which motivate a new adaptive combiner structure. The goal of the new combiner is to enforce that the cooperative AFs perform at least as well as the best individual non-cooperative AF, without discarding information from other nodes. The new structure has lower complexity and outperforms existing techniques, as illustrated by simulations. Network learning analysis is also provided. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/GlobalSIP.2014.7032230 | Signal and Information Processing |
Keywords | Field | DocType |
adaptive filters,computational complexity,network theory (graphs),parameter estimation,statistics,adaptive combiner structure,cooperation protocol,local adaptive filters,network learning analysis,network performance,parameter estimation,signal statistics,spatially universal adaptive diffusion networks,Adaptive filtering,Adaptive network,Diffusion,Spatial universality | Signal statistics,Adaptive system,Computer science,Peer to peer computing,Theoretical computer science,Adaptive filter,Artificial neural network,Universality (philosophy),Fuse (electrical),Network performance,Distributed computing | Conference |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cássio Guimarães Lopes | 1 | 394 | 32.32 |
| Luiz F. O. Chamon | 2 | 43 | 10.38 |
| Vitor H. Nascimento | 3 | 163 | 30.26 |