A scalable algorithm for radio-interferometric imaging

Rafael E. Carrillo; Vijay Kartik; Jean-Philippe Thiran; Yves Wiaux

A scalable algorithm for radio-interferometric imaging

Rafael E. Carrillo, Vijay Kartik, Jean-Philippe Thiran, Yves Wiaux

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Abstract

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).

Original language	English
Publication status	Published - 2015
Event	Signal Processing with Adaptive Sparse Structured Representations 2015 - Cambridge, United Kingdom Duration: 6 Jul 2015 → 9 Jul 2015

Conference

Conference	Signal Processing with Adaptive Sparse Structured Representations 2015
Abbreviated title	SPARS 2015
Country/Territory	United Kingdom
City	Cambridge
Period	6/07/15 → 9/07/15

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@conference{cc3af35d1b1640bb98100cb98c1fa1a2,

title = "A scalable algorithm for radio-interferometric imaging",

abstract = "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).",

author = "Carrillo, {Rafael E.} and Vijay Kartik and Jean-Philippe Thiran and Yves Wiaux",

year = "2015",

language = "English",

note = "Signal Processing with Adaptive Sparse Structured Representations 2015, SPARS 2015 ; Conference date: 06-07-2015 Through 09-07-2015",

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TY - CONF

T1 - A scalable algorithm for radio-interferometric imaging

AU - Carrillo, Rafael E.

AU - Kartik, Vijay

AU - Thiran, Jean-Philippe

AU - Wiaux, Yves

PY - 2015

Y1 - 2015

N2 - 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).

AB - 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).

M3 - Paper

T2 - Signal Processing with Adaptive Sparse Structured Representations 2015

Y2 - 6 July 2015 through 9 July 2015

ER -

A scalable algorithm for radio-interferometric imaging

Abstract

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