Radio astronomical image formation using sparse reconstruction techniques

Runny Levanda, A. Leshem

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In this paper we present a sparse reconstruction algorithm for the deconvolution of Radio astronomical synthesis images. We present the deconvolution problem as an £1 optimization. Using the sparsity of the astronomical image we obtain that the £1 reconstruction recovers the sparse image consistent with the observed data. We end up with a simulated example of the reconstruction, using a simulated radio telescope array
Original languageAmerican English
Title of host publicationIEEE 25th convention of Elec. Electron. Eng
StatePublished - 2008

Bibliographical note

Place of conference:Israel


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