@inproceedings{07adfa2ba3ee4a79bef83c2595f2d98b,
title = "Unified convex optimization approach to super-resolution based on localized kernels",
abstract = "The problem of resolving the fine details of a signal from its coarse scale measurements or, as it is commonly referred to in the literature, the super-resolution problem arises naturally in engineering and physics in a variety of settings. We suggest a unified convex optimization approach for super-resolution. The key is the construction of an interpolating polynomial in the measurements space based on localized kernels. We also show that the localized kernels act as the connecting thread to another wide-spread problem of stream of pulses.",
author = "Tamir Bendory and Shai Dekel and Arie Feuer",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 11th International Conference on Sampling Theory and Applications, SampTA 2015 ; Conference date: 25-05-2015 Through 29-05-2015",
year = "2015",
month = jul,
day = "2",
doi = "10.1109/SAMPTA.2015.7148850",
language = "الإنجليزيّة",
series = "2015 International Conference on Sampling Theory and Applications, SampTA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "58--62",
booktitle = "2015 International Conference on Sampling Theory and Applications, SampTA 2015",
address = "الولايات المتّحدة",
}