受强制性开放获取政策约束的文章 - Lin Zhou了解详情
无法在其他位置公开访问的文章:8 篇
Covert communication for spatially sparse mmWave massive MIMO channels
L Bai, J Xu, L Zhou
IEEE Transactions on Communications 71 (3), 1615-1630, 2023
强制性开放获取政策: 国家自然科学基金委员会
Achievable error exponents for almost fixed-length binary classification
L Bai, J Diao, L Zhou
2022 IEEE International Symposium on Information Theory (ISIT), 1336-1341, 2022
强制性开放获取政策: 国家自然科学基金委员会
Achievable error exponents for almost fixed-length M-ary classification
J Diao, L Zhou, L Bai
2023 IEEE International Symposium on Information Theory (ISIT), 1568-1573, 2023
强制性开放获取政策: 国家自然科学基金委员会
Achievable second-order asymptotics for additive non-Gaussian MAC and RAC
Y Wang, L Zhou, L Bai
GLOBECOM 2023-2023 IEEE Global Communications Conference, 3627-3632, 2023
强制性开放获取政策: 国家自然科学基金委员会
Achievable error exponents for almost fixed-length M-ary hypothesis testing
J Diao, L Zhou, L Bai
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
强制性开放获取政策: 国家自然科学基金委员会
Covert downlink mmwave communication for massive MIMO LEO satellite
J Xu, L Bai, L Zhou, D Liu, J Wang, Y Shi
China Conference on Command and Control, 653-664, 2022
强制性开放获取政策: 国家自然科学基金委员会
Excess-distortion exponents for successive refinement using Gaussian codebooks
Z Wu, L Bai, L Zhou
2022 IEEE International Symposium on Information Theory (ISIT), 234-239, 2022
强制性开放获取政策: 国家自然科学基金委员会
Achievable Resolution Limits of Noisy Adaptive 20 Questions Estimation for Multiple Targets
C Sun, L Zhou
2023 IEEE International Symposium on Information Theory (ISIT), 1580-1585, 2023
强制性开放获取政策: 国家自然科学基金委员会
可在其他位置公开访问的文章:24 篇
Second-order asymptotically optimal statistical classification
L Zhou, VYF Tan, M Motani
Information and Inference: A Journal of the IMA 9 (1), 81-111, 2020
强制性开放获取政策: National Research Foundation, Singapore
Distributed detection with empirically observed statistics
H He, L Zhou, VYF Tan
IEEE Transactions on Information Theory 66 (7), 4349-4367, 2020
强制性开放获取政策: National Research Foundation, Singapore
On lossy multi-connectivity: Finite blocklength performance and second-order asymptotics
L Zhou, A Wolf, M Motani
IEEE Journal on Selected Areas in Communications 37 (4), 735-748, 2019
强制性开放获取政策: Federal Ministry of Education and Research, Germany
Exponential strong converse for content identification with lossy recovery
L Zhou, VYF Tan, L Yu, M Motani
IEEE Transactions on Information Theory 64 (8), 5879-5897, 2018
强制性开放获取政策: 国家自然科学基金委员会, National Research Foundation, Singapore
Finite blocklength lossy source coding for discrete memoryless sources
L Zhou, M Motani
Foundations and Trends® in Communications and Information Theory 20 (3), 157-389, 2023
强制性开放获取政策: 国家自然科学基金委员会
Second-order asymptotically optimal outlier hypothesis testing
L Zhou, Y Wei, AO Hero
IEEE Transactions on Information Theory 68 (6), 3585-3607, 2022
强制性开放获取政策: US Department of Energy, US Department of Defense, 国家自然科学基金委员会
A strong converse theorem for hypothesis testing against independence over a two-hop network
D Cao, L Zhou, VYF Tan
Entropy 21 (12), 1171, 2019
强制性开放获取政策: 国家自然科学基金委员会
From OTFS to DD-ISAC: Integrating sensing and communications in the delay doppler domain
W Yuan, L Zhou, SK Dehkordi, S Li, P Fan, G Caire, HV Poor
IEEE Wireless Communications, 2024
强制性开放获取政策: European Commission
Resolution limits for the noisy non-adaptive 20 questions problem
L Zhou, AO Hero
IEEE Transactions on Information Theory 67 (4), 2055-2073, 2021
强制性开放获取政策: US Department of Defense, 国家自然科学基金委员会
Achievable refined asymptotics for successive refinement using Gaussian codebooks
L Bai, Z Wu, L Zhou
IEEE Transactions on Information Theory 69 (6), 3525-3543, 2023
强制性开放获取政策: 国家自然科学基金委员会
Efficient user scheduling for uplink hybrid satellite-terrestrial communication
L Zhu, L Bai, L Zhou, J Choi
IEEE Transactions on Wireless Communications 22 (3), 1885-1899, 2022
强制性开放获取政策: 国家自然科学基金委员会
Multiple private key generation for continuous memoryless sources with a helper
L Zhou
IEEE Transactions on Information Forensics and Security 15, 2629-2640, 2020
强制性开放获取政策: 国家自然科学基金委员会
出版信息和资助信息由计算机程序自动确定