Name
Abstract | ||
|---|---|---|
A new distributed multichannel technique is proposed for networks in which a different set of parameters is estimated by each node. The technique is proposed for non fully-connect topologies, so that nodes must store data and re-transmit information to other network elements. To reduce the amount of terms stored by each node, pre-computation of the data required by other elements is performed before the data sharing. The proposed method is adequate for implementation in networks with a large number of nodes, for which straightforward implementations would be prohibitive in terms of cost and memory. |
Year | Venue | Keywords |
|---|---|---|
2015 | European Signal Processing Conference | Distributed adaptive filtering,distributed multichannel adaptive filtering,multichannel LMS |
Field | DocType | ISSN |
Computer science,Data sharing,Implementation,Network topology,Memory management,Adaptive filter,Network element,Distributed computing | Conference | 2076-1465 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando G. Almeida Neto | 1 | 13 | 1.46 |
| Vitor H. Nascimento | 2 | 163 | 30.26 |
| Amanda de Paula | 3 | 0 | 0.34 |