Name
Abstract | ||
|---|---|---|
We present a generic extension of variational mode decomposition (VMD) algorithm to multivariate or multichannel data. The proposed method utilizes a model for multivariate modulated oscillations that is based on the presence of a joint or common frequency component among all channels of input data. We then formulate a variational optimization problem that aims to extract an ensemble of band-limit... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2019.2951223 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Oscillators,Standards,Transforms,Signal processing algorithms,Time-frequency analysis,Signal resolution,Data models | Oscillation,Multivariate statistics,Variational mode decomposition,Communication channel,Algorithm,Psychology,Minification,Bandwidth (signal processing),Bivariate analysis,Optimization problem,Applied psychology | Journal |
Volume | Issue | ISSN |
67 | 23 | 1053-587X |
Citations | PageRank | References |
6 | 0.45 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naveed ur Rehman | 1 | 84 | 12.66 |
| Hania Aftab | 2 | 6 | 0.45 |