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2020 – today
- 2023
[j51]Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad:
MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection From EEG Signals. IEEE Access 11: 23085-23096 (2023)- [j50]Tomer Gafni
, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen:
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models. IEEE Trans. Signal Process. 71: 202-217 (2023) - [j49]Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger:
Joint Privacy Enhancement and Quantization in Federated Learning. IEEE Trans. Signal Process. 71: 295-310 (2023) - [j48]Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne:
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments With Adjustable Fading. IEEE Trans. Wirel. Commun. 22(1): 580-595 (2023) - [i69]Tomer Raviv, Alon Goldmann, Ofek Vayner, Yair Be'ery, Nir Shlezinger:
CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders. CoRR abs/2301.06060 (2023) - [i68]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) - [i67]Antonin Rabault, Luc Le Magoarou, Jérôme Sol, George C. Alexandropoulos, Nir Shlezinger, H. Vincent Poor, Philipp del Hougne:
On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels. CoRR abs/2302.04993 (2023) - [i66]Nhan Thanh Nguyen, Mengyuan Ma, Nir Shlezinger, Yonina C. Eldar, A. Lee Swindlehurst, Markku J. Juntti:
Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems. CoRR abs/2302.12041 (2023) - [i65]Nir Shlezinger, Mengyuan Ma, Ortal Lavi, Nhan Thanh Nguyen, Yonina C. Eldar, Markku J. Juntti:
AI-Empowered Hybrid MIMO Beamforming. CoRR abs/2303.01723 (2023) - 2022
- [j47]Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd:
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization. IEEE Access 10: 115384-115398 (2022) - [j46]Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar:
Near-Field Wireless Power Transfer for 6G Internet of Everything Mobile Networks: Opportunities and Challenges. IEEE Commun. Mag. 60(3): 12-18 (2022) - [j45]Nir Shlezinger, Ivan V. Bajic:
Collaborative Inference for AI-Empowered IoT Devices. IEEE Internet Things Mag. 5(4): 92-98 (2022) - [j44]Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor:
Federated Learning: A signal processing perspective. IEEE Signal Process. Mag. 39(3): 14-41 (2022) - [j43]Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith:
Learned Factor Graphs for Inference From Stationary Time Sequences. IEEE Trans. Signal Process. 70: 366-380 (2022) - [j42]Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar:
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. IEEE Trans. Signal Process. 70: 1532-1547 (2022) - [j41]Pei Li, Nir Shlezinger, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar:
Graph Signal Compression by Joint Quantization and Sampling. IEEE Trans. Signal Process. 70: 4512-4527 (2022) - [j40]Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Task-Based Analog-to-Digital Conversion. IEEE Trans. Signal Process. 70: 6021-6034 (2022) - [j39]Thien Van Luong, Nir Shlezinger, Chao Xu, Tiep Minh Hoang, Yonina C. Eldar, Lajos Hanzo:
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink. IEEE Trans. Veh. Technol. 71(11): 11876-11888 (2022) - [j38]Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar:
Beam Focusing for Near-Field Multiuser MIMO Communications. IEEE Trans. Wirel. Commun. 21(9): 7476-7490 (2022) - [c71]Bar Rubinstein, Yoav Filin, Nir Shlezinger, Nariman Farsad:
Personalized Sleep State Classification via Learned Factor Graphs. EUSIPCO 2022: 1427-1431 - [c70]Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar:
Unsupervised Learned Kalman Filtering. EUSIPCO 2022: 1571-1575 - [c69]Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne:
End-to-End Fading Channel Modeling for RIS-Empowered Smart Wireless Environments. GLOBECOM (Workshops) 2022: 741-746 - [c68]Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar:
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. ICASSP 2022: 3194-3198 - [c67]Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun:
Deep Augmented Music Algorithm for Data-Driven Doa Estimation. ICASSP 2022: 3598-3602 - [c66]Eyal Fishel Ben-Knaan, Yonina C. Eldar, Nir Shlezinger:
Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing. ICASSP 2022: 4518-4522 - [c65]Timur Zirtiloglu, Nir Shlezinger, Yonina C. Eldar, Rabia Tugce Yazicigil:
Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCs. ICASSP 2022: 5338-5342 - [c64]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
On the Acquisition of Stationary Signals Using Uniform ADCS. ICASSP 2022: 5518-5522 - [c63]Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar:
RTSNet: Deep Learning Aided Kalman Smoothing. ICASSP 2022: 5902-5906 - [c62]Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad:
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection. ICASSP 2022: 8677-8681 - [c61]Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne, George C. Alexandropoulos:
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic Rich-Scattering Environments. ICASSP 2022: 8822-8826 - [c60]Ron Aharon Finish, Yoav Cohen, Tomer Raviv, Nir Shlezinger:
Symbol-Level Online Channel Tracking for Deep Receivers. ICASSP 2022: 8897-8901 - [c59]Konstantinos D. Katsanos, Nir Shlezinger, Mohammadreza F. Imani, George C. Alexandropoulos:
Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization. ICC Workshops 2022: 151-156 - [c58]Natalie Lang, Nir Shlezinger:
Joint Privacy Enhancement and Quantization in Federated Learning. ISIT 2022: 2040-2045 - [c57]Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen:
Composite Anomaly Detection via Hierarchical Dynamic Search. ISIT 2022: 2421-2426 - [c56]Alejandro Cohen, Amit Solomon, Nir Shlezinger:
DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications. ISIT 2022: 2690-2695 - [c55]Ortal Agiv, Nir Shlezinger:
Learn to Rapidly Optimize Hybrid Precoding. SPAWC 2022: 1-5 - [c54]Tomer Raviv, Nir Shlezinger:
Adaptive Data Augmentation for Deep Receivers. SPAWC 2022: 1-5 - [c53]Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar:
Near-Field Wireless Power Transfer with Dynamic Metasurface Antennas. SPAWC 2022: 1-5 - [i64]Nir Shlezinger, Ariel Amar, Ben Luijten, Ruud J. G. van Sloun, Yonina C. Eldar:
Deep Task-Based Analog-to-Digital Conversion. CoRR abs/2201.12634 (2022) - [i63]Konstantinos Katsanos, Nir Shlezinger, Mohammadreza F. Imani, George C. Alexandropoulos:
Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization. CoRR abs/2202.02169 (2022) - [i62]Rashid Faqiri, Chloé Saigre-Tardif, George C. Alexandropoulos, Nir Shlezinger, Mohammadreza F. Imani, Philipp del Hougne:
PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments with Adjustable Fading. CoRR abs/2202.02673 (2022) - [i61]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
On the Acquisition of Stationary Signals Using Uniform ADCs. CoRR abs/2202.05143 (2022) - [i60]Kyriakos Stylianopoulos, Nir Shlezinger, Philipp del Hougne, George C. Alexandropoulos:
Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic rich-scattering Environments. CoRR abs/2202.07884 (2022) - [i59]Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen:
Composite Anomaly Detection via Hierarchical Dynamic Search. CoRR abs/2202.10418 (2022) - [i58]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) - [i57]Nir Shlezinger, Yonina C. Eldar, Stephen P. Boyd:
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization. CoRR abs/2205.02640 (2022) - [i56]May Malka, Erez Farhan, Hai Morgenstern, Nir Shlezinger:
Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge. CoRR abs/2206.03165 (2022) - [i55]Haiyang Zhang, Nir Shlezinger, George C. Alexandropoulos, Idban Alamzadeh, Mohammadreza F. Imani, Yonina C. Eldar:
Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces. CoRR abs/2206.03913 (2022) - [i54]Nir Shlezinger, Tirza Routtenberg:
Discriminative and Generative Learning for Linear Estimation of Random Signals [Lecture Notes]. CoRR abs/2206.04432 (2022) - [i53]Emeka Abakasanga, Nir Shlezinger, Ron Dabora:
Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks. CoRR abs/2206.12097 (2022) - [i52]Thien Van Luong, Nir Shlezinger, Chao Xu, Tiep Minh Hoang, Yonina C. Eldar, Lajos Hanzo:
Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink. CoRR abs/2207.14468 (2022) - [i51]Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger:
Joint Privacy Enhancement and Quantization in Federated Learning. CoRR abs/2208.10888 (2022) - [i50]Tomer Raviv, Nir Shlezinger:
Data Augmentation for Deep Receivers. CoRR abs/2209.01362 (2022) - [i49]Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein:
Outlier-Insensitive Kalman Filtering Using NUV Priors. CoRR abs/2210.06083 (2022) - [i48]Geon Choi, Jeonghun Park, Nir Shlezinger, Yonina C. Eldar, Namyoon Lee:
Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM. CoRR abs/2210.09636 (2022) - [i47]Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger:
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control. CoRR abs/2210.12803 (2022) - [i46]Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger:
KALMANBOT: KalmanNet-Aided Bollinger Bands for Pairs Trading. CoRR abs/2210.15448 (2022) - 2021
- [j37]George C. Alexandropoulos, Nir Shlezinger, Philipp del Hougne:
Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities. IEEE Commun. Mag. 59(6): 28-34 (2021) - [j36]Nir Shlezinger, Yonina C. Eldar:
Deep Task-Based Quantization. Entropy 23(1): 104 (2021) - [j35]Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar:
FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation. IEEE J. Sel. Top. Signal Process. 15(6): 1348-1364 (2021) - [j34]Hanqing Wang, Nir Shlezinger, Yonina C. Eldar, Shi Jin, Mohammadreza F. Imani, Insang Yoo, David R. Smith:
Dynamic Metasurface Antennas for MIMO-OFDM Receivers With Bit-Limited ADCs. IEEE Trans. Commun. 69(4): 2643-2659 (2021) - [j33]Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui:
UVeQFed: Universal Vector Quantization for Federated Learning. IEEE Trans. Signal Process. 69: 500-514 (2021) - [j32]Alejandro Cohen, Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Médard:
Serial Quantization for Sparse Time Sequences. IEEE Trans. Signal Process. 69: 3299-3314 (2021) - [j31]Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar:
Over-the-Air Federated Learning From Heterogeneous Data. IEEE Trans. Signal Process. 69: 3796-3811 (2021) - [j30]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
Task-Based Analog-to-Digital Converters. IEEE Trans. Signal Process. 69: 5403-5418 (2021) - [j29]Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar:
LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers. IEEE Trans. Signal Process. 69: 5651-5664 (2021) - [j28]Feng Xi, Nir Shlezinger, Yonina C. Eldar:
BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization. IEEE Trans. Signal Process. 69: 6267-6282 (2021) - [j27]Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yariv Shavit, Moshe Namer, Yimin Liu, Yonina C. Eldar:
Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype. IEEE Trans. Veh. Technol. 70(3): 2283-2298 (2021) - [j26]Nir Shlezinger, Rong Fu, Yonina C. Eldar:
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection. IEEE Trans. Wirel. Commun. 20(2): 1349-1362 (2021) - [j25]Nir Shlezinger, George C. Alexandropoulos, Mohammadreza F. Imani, Yonina C. Eldar, David R. Smith:
Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications. IEEE Wirel. Commun. 28(2): 106-113 (2021) - [c52]Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yariv Shavit, Moshe Namer, Yimin Liu, Yonina C. Eldar:
A Hardware Prototype for Joint Radar-Communication System Using Spatial Modulation. ACSCC 2021: 634-639 - [c51]Liuhang Wang, Nir Shlezinger, George C. Alexandropoulos, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar:
Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided Multi-user MIMO Systems. ACSCC 2021: 715-721 - [c50]Bahareh Salafian, Eyal Fishel Ben, Nir Shlezinger, Sandrine de Ribaupierre, Nariman Farsad:
Efficient Epileptic Seizure Detection Using CNN-Aided Factor Graphs. EMBC 2021: 424-429 - [c49]Peter Neuhaus, Nir Shlezinger, Meik Dörpinghaus, Yonina C. Eldar, Gerhard P. Fettweis:
Task-Based Analog-to-Digital Converters for Bandlimited Systems. EUSIPCO 2021: 1985-1989 - [c48]Alejandro Cohen, Nir Shlezinger, Amit Solomon, Yonina C. Eldar, Muriel Médard:
Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests. ICASSP 2021: 1030-1034 - [c47]Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar:
Kalmannet: Data-Driven Kalman Filtering. ICASSP 2021: 3905-3909 - [c46]Feng Xi, Nir Shlezinger, Yonina C. Eldar:
Hybrid Analog-Digital MIMO Radar Receivers With Bit-Limited ADCs. ICASSP 2021: 4405-4409 - [c45]Haiyang Zhang, Nir Shlezinger, Francesco Guidi, Davide Dardari, Mohammadreza F. Imani, Yonina C. Eldar:
Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas. ICASSP 2021: 4780-4784 - [c44]Pei Li, Nir Shlezinger, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar:
Graph Signal Compression via Task-Based Quantization. ICASSP 2021: 5514-5518 - [c43]Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar:
Bit Constrained Communication Receivers In Joint Radar Communications Systems. ICASSP 2021: 8243-8247 - [c42]Nir Shlezinger, Erez Farhan, Hai Morgenstern, Yonina C. Eldar:
Collaborative Inference via Ensembles on the Edge. ICASSP 2021: 8478-8482 - [c41]Mingzhe Chen, Nir Shlezinger, H. Vincent Poor, Yonina C. Eldar, Shuguang Cui:
Joint Resource Management and Model Compression for Wireless Federated Learning. ICC 2021: 1-6 - [c40]Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang:
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. ICC Workshops 2021: 1-6 - [c39]Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar:
Model-Inspired Deep Detection with Low-Resolution Receivers. ISIT 2021: 3349-3354 - [c38]Haiyang Zhang, Nir Shlezinger, Idban Alamzadeh, George C. Alexandropoulos, Mohammadreza F. Imani, Yonina C. Eldar:
Channel Estimation with Simultaneous Reflecting and Sensing Reconfigurable Intelligent Metasurfaces. SPAWC 2021: 536-540 - [c37]Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar:
Data-Driven Symbol Detection Via Model-Based Machine Learning. SSP 2021: 571-575 - [c36]Mahdi Boloursaz Mashhadi, Nir Shlezinger, Yonina C. Eldar, Deniz Gündüz:
Fedrec: Federated Learning of Universal Receivers Over Fading Channels. SSP 2021: 576-580 - [i45]Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith:
Model-Based Machine Learning for Communications. CoRR abs/2101.04726 (2021) - [i44]Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar:
LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers. CoRR abs/2102.02993 (2021) - [i43]George C. Alexandropoulos, Nir Shlezinger, Philipp del Hougne:
Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities. CoRR abs/2103.04711 (2021) - [i42]Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang:
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels. CoRR abs/2103.13483 (2021) - [i41]Tomer Gafni, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar, H. Vincent Poor:
Federated Learning: A Signal Processing Perspective. CoRR abs/2103.17150 (2021) - [i40]George C. Alexandropoulos, Nir Shlezinger, Idban Alamzadeh, Mohammadreza F. Imani, Haiyang Zhang, Yonina C. Eldar:
Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications. CoRR abs/2104.04690 (2021) - [i39]Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar:
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. CoRR abs/2107.10043 (2021) - [i38]Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun:
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. CoRR abs/2109.10581 (2021) - [i37]Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar:
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. CoRR abs/2110.04738 (2021) - [i36]Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar:
Unsupervised Learned Kalman Filtering. CoRR abs/2110.09005 (2021) - [i35]Alejandro Cohen, Amit Solomon, Nir Shlezinger:
DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications. CoRR abs/2110.15328 (2021) - 2020
- [j24]Nir Shlezinger, Yonina C. Eldar:
Task-based quantization with application to MIMO receivers. Commun. Inf. Syst. 20(2): 131-162 (2020) - [j23]Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar:
Data-driven symbol detection via model-based machine learning. Commun. Inf. Syst. 20(3): 283-317 (2020) - [j22]Emeka Abakasanga, Nir Shlezinger, Ron Dabora:
On the Rate-Distortion Function of Sampled Cyclostationary Gaussian Processes. Entropy 22(3): 345 (2020) - [j21]Tierui Gong, Nir Shlezinger, Shahar Stein Ioushua, Moshe Namer, Zhijia Yang, Yonina C. Eldar:
RF Chain Reduction for MIMO Systems: A Hardware Prototype. IEEE Syst. J. 14(4): 5296-5307 (2020) - [j20]Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar:
Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies. IEEE Signal Process. Mag. 37(4): 85-97 (2020) - [j19]Nir Shlezinger, Emeka Abakasanga, Ron Dabora, Yonina C. Eldar:
The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise. IEEE Trans. Commun. 68(1): 106-121 (2020) - [j18]Mingjin Wang, Feifei Gao, Nir Shlezinger, Mark F. Flanagan, Yonina C. Eldar:
A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint. IEEE Trans. Signal Process. 68: 49-64 (2020) - [j17]Tianyao Huang, Nir Shlezinger, Xingyu Xu, Yimin Liu, Yonina C. Eldar:
MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation. IEEE Trans. Signal Process. 68: 3423-3438 (2020) - [j16]Xiang Liu, Tianyao Huang, Nir Shlezinger, Yimin Liu, Jie Zhou, Yonina C. Eldar:
Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar. IEEE Trans. Signal Process. 68: 3929-3944 (2020) - [j15]Tianyao Huang, Nir Shlezinger, Xingyu Xu, Dingyou Ma, Yimin Liu, Yonina C. Eldar:
Multi-Carrier Agile Phased Array Radar. IEEE Trans. Signal Process. 68: 5706-5721 (2020) - [j14]Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith:
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection. IEEE Trans. Wirel. Commun. 19(5): 3319-3331 (2020) - [c35]Neha Jain, Nir Shlezinger, Yonina C. Eldar, Anubha Gupta, Vivek Ashok Bohara:
Energy Harvesting via Analog-to-Digital Conversion. EUSIPCO 2020: 2299-2303 - [c34]Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar:
COTAF: Convergent Over-the-Air Federated Learning. GLOBECOM 2020: 1-6 - [c33]Tianyao Huang, Nir Shlezinger, Xingyu Xu, Dingyou Ma, Yimin Liu, Yonina C. Eldar:
Theoretical Analysis of Multi-Carrier Agile Phased Array Radar. ICASSP 2020: 4702-4706 - [c32]Tianyao Huang, Nir Shlezinger, Xingyu Xu, Yimin Liu, Yonina C. Eldar:
Complexity Reduction Methods for Index Modulation Based Dual-Function Radar Communication Systems. ICASSP 2020: 5080-8084 - [c31]