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Publication search results
found 77 matches
- 2024
- Laurin Benz, Wasilij Beskorovajnov, Sarai Eilebrecht, Roland Gröll, Maximilian Müller, Jörn Müller-Quade:
Chosen-Ciphertext Secure Dual-Receiver Encryption in the Standard Model Based on Post-Quantum Assumptions. IACR Cryptol. ePrint Arch. 2024: 94 (2024) - 2023
- Maria F. K. B. Couras, Pablo H. U. de Pinho, Gérard Favier, Vicente Zarzoso, André L. F. de Almeida, João P. J. da Costa:
Semi-blind receivers based on a coupled nested Tucker-PARAFAC model for dual-polarized MIMO systems using combined TST and MSMKron codings. Digit. Signal Process. 137: 104043 (2023) - Matic Kavcic, Andraz Petrovcic, Vesna Dolnicar:
Model of Acceptance and Use of Market-Ready Home-Based e-Care Services: A Qualitative Study with Care Receivers and Informal Caregivers. Int. J. Hum. Comput. Interact. 39(5): 988-1002 (2023) - Mohamed Khalil Baazaoui, Ilef Ketata, Ahmed Fakhfakh, Faouzi Derbel:
Modeling of Packet Error Rate Distribution Based on Received Signal Strength Indications in OMNeT++ for Wake-Up Receivers. Sensors 23(5): 2394 (2023) - Can Evren Yarman:
Time-space modeling of receiver ghost in the native acquisition coordinates: a step toward a non-Fourier-based deghosting. Signal Image Video Process. 17(4): 1661-1667 (2023) - Rafael Cerna-Loli, Onur Dizdar, Bruno Clerckx, Cong Ling:
Model-Based Deep Learning Receiver Design for Rate-Splitting Multiple Access. IEEE Trans. Wirel. Commun. 22(11): 8352-8365 (2023) - Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Online Meta-Learning for Hybrid Model-Based Deep Receivers. IEEE Trans. Wirel. Commun. 22(10): 6415-6431 (2023) - Meng Li, Li Sun, Yichen Wang:
A Deep Learning Based Receiver for Wireless Communications Systems With Unknown Channel Models. ICCCS 2023: 588-596 - Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger:
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. ICC Workshops 2023: 1032-1037 - Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Nir Shlezinger:
Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers. CoRR abs/2302.02436 (2023) - Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels. CoRR abs/2305.07309 (2023) - Ali Abdali, Murat Kuscu:
Frequency-Domain Model of Microfluidic Molecular Communication Channels with Graphene BioFET-based Receivers. CoRR abs/2307.04229 (2023) - Kota Fujimoto, Takumi Hamada, Hiroshi Fujimoto:
Proposal on Model Based Current Overshoot Suppression of Receiver Side Coil in Drone Wireless Power Transfer System. CoRR abs/2310.17522 (2023) - 2022
- Zhen-Yu Wang, Hong-Yi Yu, Cai-Yao Shen, Zhaorui Zhu, Zhixiang Shen, Jianping Du:
Pre-Trained Models Based Receiver Design With Natural Redundancy for Chinese Characters. IEEE Commun. Lett. 26(10): 2350-2354 (2022) - Qijuan Jie, Xichao Zhan, Feng Shu, Yaohui Ding, Baihua Shi, Yifan Li, Jiangzhou Wang:
High-Performance Passive Eigen-Model-Based Detectors of Single Emitter Using Massive MIMO Receivers. IEEE Wirel. Commun. Lett. 11(4): 836-840 (2022) - Garima Singh, Gurjit Kaur:
Modeling and Simulation of Molecular Communication Based Nanonetwork Using Finite Shaped Spherical Receiver. Wirel. Pers. Commun. 123(4): 3065-3079 (2022) - Caio Fonseca, Michael Taynnan Barros, Andreani D. Odysseos, Srivatsan Kidambi, Sasitharan Balasubramaniam:
Quasi-spherical absorbing receiver model of glioblastoma cells for exosome-based molecular communications. NANOCOM 2022: 25:1-25:2 - Tomer Raviv, Sangwoo Park, Osvaldo Simeone, Yonina C. Eldar, Nir Shlezinger:
Online Meta-Learning For Hybrid Model-Based Deep Receivers. CoRR abs/2203.14359 (2022) - Rafael Cerna-Loli, Onur Dizdar, Bruno Clerckx, Cong Ling:
Model-based Deep Learning Receiver Design for Rate-Splitting Multiple Access. CoRR abs/2205.00849 (2022) - 2021
- Xi Han, Yingchun Zhou, André L. F. de Almeida, Walter C. Freitas Jr.:
Semiblind Uni-ALS receiver for a two-way MIMO relaying system based on the PARATUCK2 model. Digit. Signal Process. 110: 102916 (2021) - Mingkui Wu, Shuai Luo, Wang Wang, Wanke Liu:
Performance Assessment of BDS-2/BDS-3/GPS/Galileo Attitude Determination Based on the Single-Differenced Model with Common-Clock Receivers. Remote. Sens. 13(23): 4845 (2021) - Mingbo Wang, Anyi Wang, Zhaoyang Liu, Heng Zhang, Jing Chai:
Mine MIMO Depth Receiver: An Intelligent Receiving Model Based on Densely Connected Convolutional Networks. Sensors 21(24): 8326 (2021) - Xi Han, Yuyu Zhao, Jiaxi Ying:
Semi-Blind Receivers for UAV M-KRST Coding MIMO Systems Based on Nested Tensor Models. IEEE Wirel. Commun. Lett. 10(1): 185-188 (2021) - Mircea Stanic:
Comparisons Between an Oblique Ionosphere Sounding Technique Based on KiwiSDR Receivers and a Proprietary Analytical Propagation Model. CITS 2021: 1-5 - Liangyuan Xu, Feifei Gao, Wei Zhang, Shaodan Ma:
Model Aided Deep Learning Based MIMO OFDM Receiver With Nonlinear Power Amplifiers. WCNC 2021: 1-6 - Indika S. A. Dhanapala, Ramona Marfievici, Dirk Pesch:
LUCID: Receiver-aware Model-based Data Communication for Low-power Wireless Networks. CoRR abs/2107.02271 (2021) - Qijuan Jie, Xichao Zhan, Feng Shu, Yaohui Ding, Baihua Shi, Yifan Li, Jiangzhou Wang:
High-performance Passive Eigen-model-based Detectors of Single Emitter Using Massive MIMO Receivers. CoRR abs/2108.02011 (2021) - 2020
- Jianhe Du, Meng Han, Libiao Jin, Yan Hua, Xingwang Li:
Semi-Blind Receivers for Multi-User Massive MIMO Relay Systems Based on Block Tucker2-PARAFAC Tensor Model. IEEE Access 8: 32170-32186 (2020) - Yan Zhang, Lei Chen, Xiaomei Tang, Gang Ou:
Receiver Differential Code Bias Estimation under Disturbed Ionosphere Status Using Linear Planar Model Based Minimum Standard Deviation Searching Method with Bias Detection. IEICE Trans. Commun. 103-B(3): 272-282 (2020) - Ankit Jain, Steffen Schön:
Influence of Receiver Clock Modeling in GNSS-based Flight Navigation: Concepts and Experimental Results. PLANS 2020: 208-218
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