We propose a scalable, randomised algorithm to solve the inverse imaging problem in wide-band radio- interferometry. In the big-data context of the next- generation radio-telescopes, the scalability is paramount due to the large-scale of the problem to be solved. The proposed method distributes the data measured at each frequency and processes it in parallel. We showcase the algorithm capabilities through realistic simulations.
|Number of pages||1|
|Publication status||Published - 30 Jan 2017|
|Event||International Biomedical and Astronomical Signal Processing Frontiers Workshop 2017 - Villars-sur-Ollon, Switzerland|
Duration: 29 Jan 2017 → 3 Feb 2017
|Conference||International Biomedical and Astronomical Signal Processing Frontiers Workshop 2017|
|Abbreviated title||BASP Frontiers 2017|
|Period||29/01/17 → 3/02/17|