Name
Abstract | ||
|---|---|---|
The problem of finding the optimal node density for reconstructing a stochastic signal from its noisy samples in sensor networks is considered. The signal could be nonstationary and nonbandlimited. A weight is assigned to each location that indicates the relative importance of the signal at that location. It is shown that when the number of samples is very large, the optimal density of the samples... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LSP.2019.2899995 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Noise measurement,Distortion,Distortion measurement,Stochastic processes,Atmospheric measurements,Weight measurement,Particle measurements | Pattern recognition,Algorithm,Signal recovery,Sampling (statistics),Artificial intelligence,Square root,Wireless sensor network,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 4 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elaheh Mohammadi | 1 | 1 | 1.71 |
| Amin Gohari | 2 | 144 | 21.81 |
| Farokh Marvasti | 3 | 573 | 72.71 |