Local Geometry of Nonconvex Spike Deconvolution From Low-Pass Measurements-Reference-Cited by-同舟云学术

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Local Geometry of Nonconvex Spike Deconvolution From Low-Pass Measurements

Published:2023 Issue: Volume:4 Page:1-15
ISSN:2641-8770
Container-title:IEEE Journal on Selected Areas in Information Theory
language:
Short-container-title:IEEE J. Sel. Areas Inf. Theory

Author:

Ferreira Da Costa Maxime¹^ORCID,Chi Yuejie²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA

2. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA

Funder

Office of Naval Research

National Science Foundation through CAREER

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

https://ieeexplore.ieee.org/ielam/8700143/10153947/10088446-aam.pdf

Reference51 articles.

1. Compressed Sensing Off the Grid

2. Exact reconstruction using Beurling minimal extrapolation

3. Harnessing Sparsity Over the Continuum: Atomic norm minimization for superresolution

4. Towards a Mathematical Theory of Super-resolution

5. Super-resolution, Extremal Functions and the Condition Number of Vandermonde Matrices

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimation of off-the grid sparse spikes with over-parametrized projected gradient descent: theory and application;Inverse Problems;2024-03-28

2. Provably Accelerating Ill-Conditioned Low-Rank Estimation via Scaled Gradient Descent, Even with Overparameterization;Applied and Numerical Harmonic Analysis;2024

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