Name
Abstract | ||
|---|---|---|
Phase retrieval is an inverse problem which consists in recovering an unknown signal from a set of absolute squared projections. Recently, gradient descent algorithms have been developed to solve this problem. However, their optimization cost functions are non-convex and non-smooth. To address the non-smoothness of the cost function, some of these methods use truncation thresholds to calculate a t... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2018.2855667 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Smoothing methods,Signal processing algorithms,Optimization,Convergence,X-ray imaging,Phase measurement,Crystallography | Conjugate gradient method,Gradient method,Truncation,Gradient descent,Phase retrieval,Algorithm,Smoothing,Nonlinear conjugate gradient method,Optimization problem,Mathematics | Journal |
Volume | Issue | ISSN |
66 | 17 | 1053-587X |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Samuel Pinilla | 1 | 3 | 5.55 |
| Jorge Bacca | 2 | 6 | 5.25 |
| Henry Arguello | 3 | 90 | 30.83 |