BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs-Reference-Cited by-同舟云学术

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BranchHull: Convex bilinear inversion from the entrywise product of signals with known signs

Published:2020-09 Issue:2 Volume:49 Page:636-654
ISSN:1063-5203
Container-title:Applied and Computational Harmonic Analysis
language:en
Short-container-title:Applied and Computational Harmonic Analysis

Author:

Aghasi Alireza,Ahmed Ali^ORCID,Hand Paul,Joshi Babhru

Funder

NSF

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference30 articles.

1. Sweep distortion removal from terahertz images via blind demodulation;Aghasi;Optica,2016

2. Blind deconvolution using convex programming;Ahmed;IEEE Trans. Inform. Theory,2014

3. Phase retrieval meets statistical learning theory: a flexible convex relaxation;Bahmani,2017

4. Phase retrieval via wirtinger flow: theory and algorithms;Candès;IEEE Trans. Inform. Theory,2015

Cited by 3 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. Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution Under Random Designs;Journal of the American Statistical Association;2021-09-24

2. Bilinear Compressed Sensing Under Known Signs via Convex Programming;IEEE Transactions on Signal Processing;2020

3. Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution;Foundations of Computational Mathematics;2019-08-05

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