Super-Resolution on the Sphere Using Convex Optimization

DOI10.1109/TSP.2015.2399861zbMath1394.94072arXiv1412.3282MaRDI QIDQ4580540

Arie Feuer, Tamir Bendory, Shai Dekel

Publication date: 22 August 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1412.3282

Mathematics Subject Classification ID

Convex programming (90C25) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (9)

Robust recovery of stream of pulses using convex optimization ⋮ Recovery of Atomic Measures on the Unit Sphere ⋮ Prony's method on the sphere ⋮ Anisotropic Diffusion in Consensus-Based Optimization on the Sphere ⋮ A multivariate generalization of Prony's method ⋮ Adapting to unknown noise level in sparse deconvolution ⋮ Prony's method under an almost sharp multivariate Ingham inequality ⋮ Spherical Designs and Nonconvex Minimization for Recovery of Sparse Signals on the Sphere ⋮ Super-resolution meets machine learning: approximation of measures

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