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


Besson A
(2019)
A Physical Model of Nonstationary Blur in Ultrasound Imaging
in IEEE Transactions on Computational Imaging

Besson A
(2019)
Joint Sparsity With Partially Known Support and Application to Ultrasound Imaging
in IEEE Signal Processing Letters

Birdi J
(2018)
Sparse interferometric Stokes imaging under the polarization constraint (Polarized SARA)
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

Lyons A
(2018)
Diffuse Time-of-flight Imaging with a Single-Photon Camera

Onose A
(2016)
Scalable splitting algorithms for big-data interferometric imaging in the SKA era
in Monthly Notices of the Royal Astronomical Society

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
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/ |