Name
Abstract | ||
|---|---|---|
This letter considers the task of estimating the norm of an n-dimensional Gaussian random vector given a noisy/perturbed observation of it. In particular, the focus is on the case of additive Gaussian noise perturbation, which is assumed to be independent of the original vector. First, an expression for the optimal estimator is derived, and then the corresponding minimum mean square error (MMSE) i... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LSP.2019.2929863 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Random variables,Maximum likelihood estimation,Noise measurement,Perturbation methods,Wireless sensor networks,Standards | Applied mathematics,Mathematical optimization,Random variable,Noise measurement,Minimum mean square error,Gaussian,Multivariate random variable,Gaussian noise,Additive white Gaussian noise,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
26 | 9 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alex Dytso | 1 | 45 | 20.03 |
| Martina Cardone | 2 | 47 | 18.36 |
| H. V. Poor | 3 | 25411 | 1951.66 |