Name
Abstract | ||
|---|---|---|
A vertex-varying spectral content on graphs challenges the assumption of vertex invariance and requires vertex-frequency representations for an adequate analysis. In this letter, we introduce a class of vertex-frequency energy distributions inspired by traditional time-frequency energy distributions. These newly introduced distributions do not use localization windows. Their efficiency in energy c... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2017.2764884 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Laplace equations,Signal processing,Time-frequency analysis,Indexes,Artificial neural networks,Smoothing methods,Matrix decomposition | Journal | 25 |
Issue | ISSN | Citations |
3 | 1070-9908 | 1 |
PageRank | References | Authors |
0.37 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. Stankovic | 1 | 736 | 87.03 |
| Ervin Sejdic | 2 | 146 | 25.55 |
| Milos Dakovic | 3 | 110 | 26.73 |