Name
Abstract | ||
|---|---|---|
Since the advent of the ℓ1 regularized least squares method (LASSO), a new line of research has emerged, which has been geared toward the application of the LASSO to parameter estimation problems. Recent years witnessed a considerable progress in this area. The notorious difficulty with discretization has been settled in the recent literature, and an entirely continuous estimation method is now av... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSP.2017.2755602 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Parameter estimation,Noise measurement,Estimation,Signal to noise ratio,Error analysis,Signal resolution | Discretization,Mathematical optimization,Direction of arrival,Elastic net regularization,Lasso (statistics),Regularization (mathematics),Without loss of generality,Estimation theory,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
65 | 24 | 1053-587X |
Citations | PageRank | References |
0 | 0.34 | 20 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashkan Panahi | 1 | 93 | 13.97 |
| M. Viberg | 2 | 917 | 188.13 |