Name
Abstract | ||
|---|---|---|
Multiscale transforms designed to process analog and discrete-time signals and images cannot be directly applied to analyze high-dimensional data residing on the vertices of a weighted graph, as they do not capture the intrinsic topology of the graph data domain. In this paper, we adapt the Laplacian pyramid transform for signals on Euclidean domains so that it can be used to analyze high-dimensio... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TSP.2015.2512529 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Laplace equations,Transforms,Eigenvalues and eigenfunctions,Signal resolution,Image resolution,Bipartite graph | Adjacency matrix,Mathematical optimization,Data domain,Interpolation,Filter (signal processing),Graph bandwidth,Pyramid,Graph reduction,Upsampling,Mathematics | Journal |
Volume | Issue | ISSN |
64 | 8 | 1053-587X |
Citations | PageRank | References |
33 | 1.29 | 31 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David I. Shuman | 1 | 472 | 22.38 |
| Mohammad Javad Faraji | 2 | 57 | 3.69 |
| Pierre Vandergheynst | 3 | 3576 | 208.25 |