Name
Abstract | ||
|---|---|---|
The conventional wavelet transform is widely used in image and signal processing, where a signal is decomposed into a combination of known signals. By analyzing the individual contributions, the behavior of the original signal can be inferred. In this article, the authors present an introductory overview of the extension of this theory into graphs domains. They review the graph Fourier transform a... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MCSE.2017.3421553 | Computing in Science & Engineering |
Keywords | Field | DocType |
Eigenvalues and eigenfunctions,Laplace equations,Graphical models,Wavelet coefficients,Signal processing,Spectral analysis | Harmonic wavelet transform,Spectral graph theory,Computer science,Theoretical computer science,Second-generation wavelet transform,Discrete wavelet transform,Stationary wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet | Journal |
Volume | Issue | ISSN |
19 | 5 | 1521-9615 |
Citations | PageRank | References |
3 | 0.40 | 2 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alcebiades Dal Col | 1 | 6 | 0.81 |
| Paola Valdivia | 2 | 8 | 4.91 |
| Fabiano Petronetto | 3 | 103 | 8.52 |
| Fabio Dias | 4 | 71 | 7.10 |
| Cláudio T. Silva | 5 | 5054 | 290.90 |
| Luis G. Nonato | 6 | 797 | 55.35 |