A scalable algorithm for radio-interferometric imaging

In recent works, sparse models and convex optimization techniques have been applied to radio-interferometric (RI) imaging showing the potential to outperform state-of-the-art imaging algorithms in the field. In this paper, we propose a scalable algorithm for RI imaging that offers a highly parallelizable structure paving the way for next- generation high-dimensional data imaging. The proposed algorithm is based on a proximal linear version of the alternating direction method of multipliers (ADMM).


Presented at:
Signal Processing with Adaptive Sparse Structured Representations Workshop, Cambridge, UK, July 6-9, 2015
Year:
2015
Keywords:
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 Record created 2015-06-26, last modified 2018-03-17

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