Radio astronomical image formation using sparse reconstruction techniques

Runny Levanda; A. Leshem

Radio astronomical image formation using sparse reconstruction techniques

Runny Levanda
, A. Leshem

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	American English
Title of host publication	IEEE 25th convention of Elec. Electron. Eng
Publisher	IEEE
State	Published - 2008

Bibliographical note

Place of conference:Israel

Cite this

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title = "Radio astronomical image formation using sparse reconstruction techniques",

abstract = "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",

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AU - Leshem, A.

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PY - 2008

Y1 - 2008

N2 - 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

AB - 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

UR - https://scholar.google.co.il/scholar?q=Radio+astronomical+image+formation+using+sparse+reconstruction+techniques&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

BT - IEEE 25th convention of Elec. Electron. Eng

PB - IEEE

ER -

Radio astronomical image formation using sparse reconstruction techniques

Abstract

Bibliographical note

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