Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems

DOI10.1109/TIT.2020.2985015zbMath1448.94050arXiv1905.04627OpenAlexW2944407967WikidataQ99402901 ScholiaQ99402901MaRDI QIDQ5124547

Chrysa D. Papadaniil, Carlos Fernandez-Granda, Brett Bernstein, Sheng Liu

Publication date: 29 September 2020

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1905.04627

zbMATH Keywords

convex programming

Mathematics Subject Classification ID

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

Related Items (1)

A Sampling Theorem for Deconvolution in Two Dimensions

This page was built for publication: Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems