activity
19992024
most citedCompressed sensing imaging techniques for radio interferometry

268 citations · 3.5k across the 88 of their papers we have counts for

collaborators
Showing 2016Show all

7 papers · 1 filter

astro-ph.IM2016★ 27 cited

Wavelet-Bayesian inference of cosmic strings embedded in the cosmic microwave background

J. D. McEwen, S. M. Feeney, H. V. Peiris +3

Cosmic strings are a well-motivated extension to the standard cosmological model and could induce a subdominant component in the anisotropies of the cosmic microwave background (CM…

astro-ph.IM2016★ 2 cited

A randomised primal-dual algorithm for distributed radio-interferometric imaging

Alexandru Onose, Rafael E. Carrillo, Jason D. McEwen +1

Next generation radio telescopes, like the Square Kilometre Array, will acquire an unprecedented amount of data for radio astronomy. The development of fast, parallelisable or dist…

astro-ph.IM2016★ 61 cited

Robust sparse image reconstruction of radio interferometric observations with purify

Luke Pratley, Jason D. McEwen, Mayeul d'Avezac +3

Next-generation radio interferometers, such as the Square Kilometre Array (SKA), will revolutionise our understanding of the universe through their unprecedented sensitivity and re…

astro-ph.IM2016★ 20 cited

A Fourier dimensionality reduction model for big data interferometric imaging

S. Vijay Kartik, Rafael E. Carrillo, Jean-Philippe Thiran +1

Data dimensionality reduction in radio interferometry can provide savings of computational resources for image reconstruction through reduced memory footprints and lighter computat…

astro-ph.IM2016★ 3 cited

A regularized tri-linear approach for optical interferometric imaging

Jasleen Birdi, Audrey Repetti, Yves Wiaux

In the context of optical interferometry, only undersampled power spectrum and bispectrum data are accessible. It poses an ill-posed inverse problem for image recovery. Recently, a…

cs.IT2016★ 17 cited

Sparse image reconstruction on the sphere: analysis and synthesis

Christopher G. R. Wallis, Yves Wiaux, Jason D. McEwen

We develop techniques to solve ill-posed inverse problems on the sphere by sparse regularisation, exploiting sparsity in both axisymmetric and directional scale-discretised wavelet…