Name
Abstract | ||
|---|---|---|
In a variety of fields, in particular those involving imaging and optics, we often measure signals whose phase is missing or has been irremediably distorted. Phase retrieval attempts to recover the phase information of a signal from the magnitude of its Fourier transform to enable the reconstruction of the original signal. Solving the phase retrieval problem is equivalent to recovering a signal fr... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2019.2931169 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Signal processing algorithms,Crystallography,Image resolution,Signal resolution,Distortion measurement,Phase measurement,Approximation algorithms | Approximation algorithm,Mathematical optimization,Phase retrieval,Algorithm,Communication channel,Greedy algorithm,Fourier transform,Speckle imaging,Image resolution,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
67 | 18 | 1053-587X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gilles Baechler | 1 | 8 | 2.29 |
| Miranda Krekovic | 2 | 1 | 1.37 |
| Juri Ranieri | 3 | 139 | 9.77 |
| A. Chebira | 4 | 179 | 14.16 |
| Yue M. Lu | 5 | 20 | 5.40 |
| Martin Vetterli | 6 | 13926 | 2397.68 |