@inproceedings{5aeabe3c3eff47c09eadab30545a4504,
title = "A parallel algorithm for phase retrieval with dictionary learning",
abstract = "We propose a new formulation for the joint phase retrieval and dictionary learning problem with a reduced number of regularization parameters to be tuned. A parallel algorithm based on the block successive convex approximation framework is developed for the proposed formulation. The performance of the algorithm is evaluated when applied to sparse channel estimation in a multi-antenna random access network. Simulation results on synthetic data show the efficiency of the proposed technique compared to the state-of-the-art method.",
author = "Tianyi Liu and Tillmann, {Andreas M} and Yang Yang and Eldar, {Yonina C} and Marius Pesavento",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 ; Conference date: 06-06-2021 Through 11-06-2021",
year = "2021",
doi = "10.1109/ICASSP39728.2021.9413991",
language = "الإنجليزيّة",
isbn = "978-1-7281-7606-2",
volume = "2021-June",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "5619--5623",
booktitle = "2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Proceedings",
}