Name
Abstract | ||
|---|---|---|
The problem of weak signal detection in Gaussian noise is addressed in the Neyman-Pearson framework with compressive measurements. A locally optimum detector is first devised assuming that the signal is nonsparse by approximating the test statistic around zero using a Taylor series, which is a good estimate only in a small radius around zero. When the signal is sparse, it is shown that the perform... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2017.2778422 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Taylor series,Manganese,Detectors,Signal detection,Simulation,Noise measurement,Signal to noise ratio | Applied mathematics,Mathematical optimization,Noise measurement,Padé approximant,Radius of convergence,Test statistic,Polynomial,Signal-to-noise ratio,Gaussian noise,Mathematics,Taylor series | Journal |
Volume | Issue | ISSN |
25 | 1 | 1070-9908 |
Citations | PageRank | References |
1 | 0.35 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyatsandra G. Nagananda | 1 | 8 | 2.93 |
| Pramod K. Varshney | 2 | 6689 | 594.61 |