受强制性开放获取政策约束的文章 - Jennifer Tang了解详情
可在其他位置公开访问的文章：9 篇
Capacity of noisy permutation channels
J Tang, Y Polyanskiy
IEEE Transactions on Information Theory 69 (7), 4145-4162, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Quantization of random distributions under KL divergence
A Adler, J Tang, Y Polyanskiy
2021 IEEE International Symposium on Information Theory (ISIT), 2762-2767, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Data-driven blind synchronization and interference rejection for digital communication signals
A Lancho, A Weiss, GCF Lee, J Tang, Y Bu, Y Polyanskiy, GW Wornell
GLOBECOM 2022-2022 IEEE Global Communications Conference, 2296-2302, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense, A*Star, Singapore …
Exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation
GCF Lee, A Weiss, A Lancho, J Tang, Y Bu, Y Polyanskiy, GW Wornell
2022 IEEE 32nd International Workshop on Machine Learning for Signal …, 2022
强制性开放获取政策： US Department of Defense, European Commission
Efficient representation of large-alphabet probability distributions
A Adler, J Tang, Y Polyanskiy
IEEE Journal on Selected Areas in Information Theory 3 (4), 651-663, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Stochastic opinion dynamics under social pressure in arbitrary networks
J Tang, A Adler, A Ajorlou, A Jadbabaie
2023 62nd IEEE Conference on Decision and Control (CDC), 1360-1366, 2023
强制性开放获取政策： US Department of Defense
Defect tolerance: Fundamental limits and examples
J Tang, D Wang, Y Polyanskiy, GW Wornell
IEEE Transactions on Information Theory 64 (7), 5240-5260, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Minimax Regret on Patterns Using Kullback-Leibler Divergence Covering
J Tang
Conference on Learning Theory, 3095-3112, 2022
强制性开放获取政策： US National Science Foundation
Efficient Representation of Large-Alphabet Probability Distributions via Arcsinh-Compander
A Adler, J Tang, Y Polyanskiy
2022 IEEE International Symposium on Information Theory (ISIT), 162-167, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
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