A distributed algorithm for wide-band radio-interferometry

Abdullah Abdulaziz, Alex Onose, Arwa Dabbech, Yves Wiaux

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Abstract

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.
Original languageEnglish
Number of pages1
Publication statusPublished - 30 Jan 2017
EventInternational Biomedical and Astronomical Signal Processing Frontiers Workshop 2017 - Villars-sur-Ollon, Switzerland
Duration: 29 Jan 20173 Feb 2017

Conference

ConferenceInternational Biomedical and Astronomical Signal Processing Frontiers Workshop 2017
Abbreviated titleBASP Frontiers 2017
Country/TerritorySwitzerland
CityVillars-sur-Ollon
Period29/01/173/02/17

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