Name
Abstract | ||
|---|---|---|
Sparse modelling with the ℓp norm of 0 ≤ p ≤ 1 requires the availability of the proximity operator of the ℓp norm. The proximity operators of the ℓ0 and ℓ1 norms are the well-known hard- and soft-thresholding estimators, respectively. In this study, the authors give a complete study on the properties of the proximity operator of the ℓp norm. Based on these properties, explicit formulas of the prox... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-spr.2015.0244 | IET Signal Processing |
Keywords | Field | DocType |
image coding,image restoration,Newton method | Mathematical optimization,Combinatorics,Mathematical proof,Operator (computer programming),Norm (mathematics),Image restoration,Compressed sensing,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
10 | 5 | 1751-9675 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feishe Chen | 1 | 2 | 1.72 |
| Lixin Shen | 2 | 3 | 2.40 |
| Bruce W. Suter | 3 | 216 | 17.99 |