Shahrzad Naghibzadeh — accepted AI-conference papers

2017

Radioastronomical Least Squares image reconstruction with iteration regularized Krylov subspaces and beamforming-based prior conditioning

Shahrzad Naghibzadeh, Alle-Jan van der Veen

ICASSP 2017accepted

A fast iterative method based on projection onto Krylov subspaces has been proposed for Radio Astronomical (RA) image reconstruction from telescope array measurements. The image formation problem is formulated as a linear least squares (LS) estimation problem by discretizing the Field of View (FoV)…

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2016

Radioastronomical image reconstruction with regularized least squares

Shahrzad Naghibzadeh, Ahmad Mouri Sardarabadi, Alle-Jan van der Veen

ICASSP 2016accepted

Image formation using the data from an array of sensors is a familiar problem in many fields such as radio astronomy, biomedical and geodetic imaging. The problem can be formulated as a least squares (LS) estimation problem and becomes ill-posed at high resolutions, i.e. large number of image pixels…

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