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A parallel algorithm for phase retrieval with dictionary learning

: Liu, T.; Tillmann, A.M.; Yang, Y.; Eldar, Y.C.; Pesavento, M.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
ICASSP 2021, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings : June 6-11, 2021, Virtual Conference, Toronto, Ontario, Canada
Piscataway, NJ: IEEE, 2021
ISBN: 978-1-7281-7606-2
ISBN: 978-1-7281-7605-5
International Conference on Acoustics, Speech and Signal Processing (ICASSP) <46, 2021, Online>
Conference Paper
Fraunhofer ITWM ()

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.