Liu, Tianyi ; Tillmann, Andreas M. ; Yang, Yang ; Eldar, Yonina ; Pesavento, Marius (2021)
A Parallel Algorithm for Phase Retrieval with Dictionary Learning.
46th IEEE International Conference on Acoustics,Speech and Signal Processing. virtual Conference (06.06.2021-11.06.2021)
doi: 10.1109/ICASSP39728.2021.9413991
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Liu, Tianyi ; Tillmann, Andreas M. ; Yang, Yang ; Eldar, Yonina ; Pesavento, Marius |
| Art des Eintrags: | Bibliographie |
| Titel: | A Parallel Algorithm for Phase Retrieval with Dictionary Learning |
| Sprache: | Englisch |
| Publikationsjahr: | 13 Mai 2021 |
| Verlag: | IEEE |
| Buchtitel: | 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings |
| Veranstaltungstitel: | 46th IEEE International Conference on Acoustics,Speech and Signal Processing |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 06.06.2021-11.06.2021 |
| DOI: | 10.1109/ICASSP39728.2021.9413991 |
| Kurzbeschreibung (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. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Nachrichtentechnische Systeme |
| Hinterlegungsdatum: | 05 Mai 2021 06:32 |
| Letzte Änderung: | 15 Nov 2022 10:09 |
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