E-LIB Suche - Ergebnisse für: Raviv, Tomer

1

CRC-Aided Learned Ensembles of Belief-Propagation Polar Dec..:

, In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Raviv, Tomer ; Goldman, Alon ; Vayner, Ofek.. - p. 8856-8860 , 2024

Link: https://doi.org/10.1109/..

2

Adaptive and Flexible Model-Based AI for Deep Receivers in ..:

Raviv, Tomer ; Park, Sangwoo ; Simeone, Osvaldo..
IEEE Wireless Communications. 31 (2024) 4 - p. 163-169 , 2024

Link: https://doi.org/10.1109/..

3

Data Augmentation for Deep Receivers:

Raviv, Tomer ; Shlezinger, Nir
IEEE Transactions on Wireless Communications. 22 (2023) 11 - p. 8259-8274 , 2023

Link: https://doi.org/10.1109/..

4

Online Meta-Learning for Hybrid Model-Based Deep Receivers:

Raviv, Tomer ; Park, Sangwoo ; Simeone, Osvaldo..
IEEE Transactions on Wireless Communications. 22 (2023) 10 - p. 6415-6431 , 2023

Link: https://doi.org/10.1109/..

5

Modular Model-Based Bayesian Learning for Uncertainty-Aware..:

, In: 2023 IEEE International Conference on Communications Workshops (ICC Workshops),

Raviv, Tomer ; Park, Sangwoo ; Simeone, Osvaldo. - p. 1032-1037 , 2023

Link: https://doi.org/10.1109/..

6

Symbol-Level Online Channel Tracking for Deep Receivers:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Finish, Ron Aharon ; Cohen, Yoav ; Raviv, Tomer. - p. 8897-8901 , 2022

Link: https://doi.org/10.1109/..

7

Adaptive Data Augmentation for Deep Receivers:

, In: 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC),

Raviv, Tomer ; Shlezinger, Nir - p. 1-5 , 2022

Link: https://doi.org/10.1109/..

8

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/..

9

Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting ..:

, In: 2020 IEEE Information Theory Workshop (ITW),

Raviv, Tomer ; Schwartz, Asaf ; Be'ery, Yair - p. 1-5 , 2021

Link: https://doi.org/10.1109/..

10

Deep Ensemble of Weighted Viterbi Decoders for Tail-Biting ..:

Raviv, Tomer ; Schwartz, Asaf ; Be'ery, Yair
Entropy. 23 (2021) 1 - p. 93 , 2021

Link: https://doi.org/10.3390/..

11

Data-Driven Ensembles for Deep and Hard-Decision Hybrid Dec..:

, In: 2020 IEEE International Symposium on Information Theory (ISIT),

Raviv, Tomer ; Raviv, Nir ; Be'ery, Yair - p. 321-326 , 2020

Link: https://doi.org/10.1109/..

12

Blind Channel Estimation and Joint Symbol Detection with Da..:

Schmid, Luca ; Raviv, Tomer ; Shlezinger, Nir.
http://arxiv.org/abs/2401.12627. , 2024

Link: http://arxiv.org/abs/240..

13

Online Meta-Learning For Hybrid Model-Based Deep Receivers:

Raviv, Tomer ; Park, Sangwoo ; Simeone, Osvaldo..
Raviv , T , Park , S , Simeone , O , Eldar , Y C & Shlezinger , N 2023 , ' Online Meta-Learning For Hybrid Model-Based Deep Receivers ' , IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS , pp. 1 . https://doi.org/10.1109/TWC.2023.3241841. , 2023

Link: https://kclpure.kcl.ac.u..

14

Modular Model-Based Bayesian Learning for Uncertainty-Aware..:

Raviv, Tomer ; Park, Sangwoo ; Simeone, Osvaldo.
http://arxiv.org/abs/2302.02436. , 2023

Link: http://arxiv.org/abs/230..

15

CRC-Aided Learned Ensembles of Belief-Propagation Polar Dec..:

Raviv, Tomer ; Goldman, Alon ; Vayner, Ofek..
http://arxiv.org/abs/2301.06060. , 2023

Link: http://arxiv.org/abs/230..