Compressive Imaging for radio Interferometry (CIRI)
Lead Research Organisation:
UNIVERSITY COLLEGE LONDON
Department Name: Mullard Space Science Laboratory
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
| Jason McEwen (Principal Investigator) |
Publications
Onose A
(2016)
Scalable splitting algorithms for big-data interferometric imaging in the SKA era
in Monthly Notices of the Royal Astronomical Society
Onose A
(2016)
Scalable splitting algorithms for big-data interferometric imaging in the SKA era
in Monthly Notices of the Royal Astronomical Society
Dabbech A
(2017)
The w-effect in interferometric imaging: from a fast sparse measurement operator to superresolution
in Monthly Notices of the Royal Astronomical Society
Pratley L
(2017)
PURIFYing real radio interferometric observations
Onose Alexandru
(2017)
An accelerated splitting algorithm for radio-interferometric imaging: when natural and uniform weighting meet
in ArXiv e-prints
Pratley L
(2018)
Robust sparse image reconstruction of radio interferometric observations with purify
in Monthly Notices of the Royal Astronomical Society
Lyons A
(2018)
Diffuse Time-of-flight Imaging with a Single-Photon Camera
Pratley L
(2018)
Robust sparse image reconstruction of radio interferometric observations with purify
in Monthly Notices of the Royal Astronomical Society
| Title | PURIFY |
| Description | Next-generation radio interferometric imaging |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Open Source License? | Yes |
| Impact | Provide software to perform next-generation radio interferometric imaging |
| URL | http://basp-group.github.io/purify/ |
| Title | SOPT |
| Description | Sparse optimisation |
| Type Of Technology | Software |
| Year Produced | 2016 |
| Open Source License? | Yes |
| Impact | Toolbox for solving sparse optimisation problems for variety of applications |
| URL | http://basp-group.github.io/sopt/ |