Name
Abstract | ||
|---|---|---|
In this article, we are interested in adaptive and distributed estimation of graph filters from streaming data. We formulate this problem as a consensus estimation problem over graphs, which can be addressed with diffusion LMS strategies. Most popular graph-shift operators such as those based on the graph Laplacian matrix, or the adjacency matrix, are not energy preserving. This may result in an i... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TSIPN.2020.2964214 | IEEE Transactions on Signal and Information Processing over Networks |
Keywords | Field | DocType |
Symmetric matrices,Estimation,Signal processing algorithms,Signal processing,Adaptation models,Adaptive systems,Distributed algorithms | Least mean squares filter,Adjacency matrix,Laplacian matrix,Matrix (mathematics),Computer science,Algorithm,Hessian matrix,Distributed algorithm,Cluster analysis,Filter design | Journal |
Volume | ISSN | Citations |
6 | 2373-776X | 5 |
PageRank | References | Authors |
0.38 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Hua | 1 | 9 | 2.83 |
| Roula Nassif | 2 | 57 | 6.89 |
| Cédric Richard | 3 | 940 | 71.61 |
| Haiyan Wang | 4 | 39 | 16.48 |
| Ali H. Sayed | 5 | 9134 | 667.71 |