2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information
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Paper Detail

Paper IDSPTM-24.6
Paper Title A PARALLEL ALGORITHM FOR PHASE RETRIEVAL WITH DICTIONARY LEARNING
Authors Tianyi Liu, Technische Universitaet Darmstadt, Germany; Andreas M. Tillmann, Technische Universität Braunschweig, Germany; Yang Yang, Fraunhofer ITWM, Germany; Yonina C. Eldar, Weizmann Institute of Science, Israel; Marius Pesavento, Technische Universitaet Darmstadt, Germany
SessionSPTM-24: Sparsity-aware Processing
LocationGather.Town
Session Time:Friday, 11 June, 14:00 - 14:45
Presentation Time:Friday, 11 June, 14:00 - 14:45
Presentation Poster
Topic Signal Processing Theory and Methods: [SMDSP-SAP] Sparsity-aware Processing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
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.