Abstract—We show that the imaging problem for radio as- tronomy is not only bounded below (the image is non–negative), but there is also an upper bound.
A new imaging algorithm based on convex optimization, active sets, and Krylov-subspace-based solvers is presented.
We show that the imaging problem for radio astronomy is not only bounded below (the image is non-negative), but there is also an upper bound.
Constrained imaging for radio astronomy. Ahmad Mouri Sardarabadi, Alle-Jan van der Veen. Research output: Chapter in Book/Report/Conference proceeding ...
Constrained Imaging for Radio Astronomy. Conference paper (2013). Authors. Ahmad Sardarabadi Signal Processing Systems. A.J. van der van der Veen Signal ...
A new imaging algorithm based on convex optimization, active sets, and Krylov-subspace-based solvers is presented.
The ASP24, 25 algorithm parameterizes the sky into a collection of Gaussians and does a formal constrained optimization on their parameters using L2 as well as ...
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Radio interferometry probes astrophysical signals through incomplete and noisy Fourier measurements. The theory of compressed sensing demonstrates that such ...