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1 Ergebnisse
1
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization f..:
, In:
2021 IEEE International Conference on Communications Workshops (ICC Workshops)
,
Raviv, Tomer
;
Park, Sangwoo
;
Shlezinger, Nir
... - p. 1-6 , 2021
Link:
https://doi.org/10.1109/ICCWorkshops50388.2021.9473693
RT T1 <cTitle>2021 IEEE International Conference on Communications Workshops (ICC Workshops)</cTitle>: T1 <Title>Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9473693&Exemplar=1&LAN=DE A1 Raviv, Tomer A1 Park, Sangwoo A1 Shlezinger, Nir A1 Simeone, Osvaldo A1 Eldar, Yonina C. A1 Kang, Joonhyuk YR 2021 SN 2694-2941 K1 Training K1 Adaptation models K1 Recurrent neural networks K1 Viterbi algorithm K1 Conferences K1 Receivers K1 Detectors K1 meta-learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCWorkshops50388.2021.9473693 DO https://doi.org/10.1109/ICCWorkshops50388.2021.9473693 SF ELIB - SuUB Bremen
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