Convex approximation to the likelihood criterion for aperture synthesis imaging

Details Convex approximation to the likelihood criterion for aperture synthesis imaging Convex approximation to the likelihood criterion for aperture synthesis imaging

Nov 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005josaa..22.2348m&link_type=abstract

Optical Society of America Journal, Volume 22, Issue 11, pp. 2348-2356 (2005).

Physics

Optics

8

Visibility, Light Interferometry, Atmospheric Optics, Atmospheric Techniques, Telescopes, Atmospheric Turbulence, Image Resolution, Physics Computing, Convex Programming, Image Reconstruction-Restoration, Inverse Problems, Telescopes, Interferometry

Scientific paper

Aperture synthesis allows one to measure visibilities at very high resolutions by coupling telescopes of reasonable diameters. We consider the case where visibility amplitudes and phase are measured separately. It leads to an estimation problem where the noise model yields a nonconvex data-likelihood criterion. We show how to optimally approximate the noise model while keeping the criterion convex. This approximation has been validated both on simulations and on experimental data.

Affiliated with

Also associated with

No associations

Rating

Convex approximation to the likelihood criterion for aperture synthesis imaging does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Convex approximation to the likelihood criterion for aperture synthesis imaging, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Convex approximation to the likelihood criterion for aperture synthesis imaging will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1634900