Nir Shlezinger

Orcid: 0000-0003-2234-929X

According to our database1, Nir Shlezinger authored at least 181 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hybrid Reconfigurable Intelligent Metasurfaces: Enabling Simultaneous Tunable Reflections and Sensing for 6G Wireless Communications.
IEEE Veh. Technol. Mag., March, 2024

DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm.
IEEE Trans. Veh. Technol., 2024

Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates.
CoRR, 2024

Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs.
CoRR, 2024

2023
Data Augmentation for Deep Receivers.
IEEE Trans. Wirel. Commun., November, 2023

Online Meta-Learning for Hybrid Model-Based Deep Receivers.
IEEE Trans. Wirel. Commun., October, 2023

Learn to Rapidly and Robustly Optimize Hybrid Precoding.
IEEE Trans. Commun., October, 2023

Split-KalmanNet: A Robust Model-Based Deep Learning Approach for State Estimation.
IEEE Trans. Veh. Technol., September, 2023

Unsupervised Deep-Learning for Distributed Clock Synchronization in Wireless Networks.
IEEE Trans. Veh. Technol., September, 2023

Discriminative and Generative Learning for the Linear Estimation of Random Signals [Lecture Notes].
IEEE Signal Process. Mag., September, 2023

Integrated Sensing and Communications With Reconfigurable Intelligent Surfaces: From signal modeling to processing.
IEEE Signal Process. Mag., September, 2023

Model-Based Deep Learning.
Proc. IEEE, May, 2023

Channel Estimation With Hybrid Reconfigurable Intelligent Metasurfaces.
IEEE Trans. Commun., April, 2023

6G Wireless Communications: From Far-Field Beam Steering to Near-Field Beam Focusing.
IEEE Commun. Mag., April, 2023

PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments With Adjustable Fading.
IEEE Trans. Wirel. Commun., 2023

RTSNet: Learning to Smooth in Partially Known State-Space Models.
IEEE Trans. Signal Process., 2023

Multiuser MIMO Wideband Joint Communications and Sensing System With Subcarrier Allocation.
IEEE Trans. Signal Process., 2023

Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems.
IEEE Trans. Signal Process., 2023

Joint Privacy Enhancement and Quantization in Federated Learning.
IEEE Trans. Signal Process., 2023

Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models.
IEEE Trans. Signal Process., 2023

Model-Based Deep Learning.
Found. Trends Signal Process., 2023

GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering.
CoRR, 2023

Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM.
CoRR, 2023

Outlier-Insensitive Kalman Filtering: Theory and Applications.
CoRR, 2023

Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks.
CoRR, 2023

Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding.
CoRR, 2023

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation.
CoRR, 2023

Adaptive and Flexible Model-Based AI for Deep Receivers in Dynamic Channels.
CoRR, 2023

AI-Empowered Hybrid MIMO Beamforming.
CoRR, 2023

Deep Unfolding Hybrid Beamforming Designs for THz Massive MIMO Systems.
CoRR, 2023

On the Tacit Linearity Assumption in Common Cascaded Models of RIS-Parametrized Wireless Channels.
CoRR, 2023

CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders.
CoRR, 2023

MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection From EEG Signals.
IEEE Access, 2023

Joint Communications and Sensing Design for Multi-Carrier MIMO Systems.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023

On the Interpretable Adversarial Sensitivity of Iterative Optimizers.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Deep Unfolded Superposition Coding Optimization for Two-Hop NOMA MANETs.
Proceedings of the IEEE Military Communications Conference, 2023

Modular Model-Based Bayesian Learning for Uncertainty-Aware and Reliable Deep MIMO Receivers.
Proceedings of the IEEE International Conference on Communications, 2023

Near-field Localization with Dynamic Metasurface Antennas.
Proceedings of the IEEE International Conference on Acoustics, 2023

Outlier-Insensitive Kalman Filtering Using NUV Priors.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Root Music Algorithm for Data-Driven Doa Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Extended Kalman Filter for Graph Signals in Nonlinear Dynamic Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

Distributed Admm with Limited Communications Via Deep Unfolding.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Multi-Rate Vector Quantization for Remote Deep Inference.
Proceedings of the IEEE International Conference on Acoustics, 2023

Hierarchical Filtering With Online Learned Priors for ECG Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2023

CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas.
Proceedings of the IEEE International Conference on Acoustics, 2023

Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading.
Proceedings of the IEEE International Conference on Acoustics, 2023

LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learned Kalman Filtering in Latent Space with High-Dimensional Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

Generating Artistic Images Via Few-Shot Style Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2023

Generative Versus Discriminative Data-Driven Graph Filtering of Random Graph Signals.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Task-Specific Low-Power Beamforming MIMO Receiver Using 2-Bit Analog-to-Digital Converters.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

Fast Deep Unfolded Hybrid Beamforming in Multiuser Large MIMO Systems.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Beam Focusing for Near-Field Multiuser MIMO Communications.
IEEE Trans. Wirel. Commun., 2022

Deep Learning Based Successive Interference Cancellation for the Non-Orthogonal Downlink.
IEEE Trans. Veh. Technol., 2022

Learned Factor Graphs for Inference From Stationary Time Sequences.
IEEE Trans. Signal Process., 2022

Deep Task-Based Analog-to-Digital Conversion.
IEEE Trans. Signal Process., 2022

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.
IEEE Trans. Signal Process., 2022

Graph Signal Compression by Joint Quantization and Sampling.
IEEE Trans. Signal Process., 2022

Federated Learning: A signal processing perspective.
IEEE Signal Process. Mag., 2022

Collaborative Inference for AI-Empowered IoT Devices.
IEEE Internet Things Mag., 2022

Split-KalmanNet: A Robust Model-Based Deep Learning Approach for SLAM.
CoRR, 2022

Deep-Learning-Aided Distributed Clock Synchronization for Wireless Networks.
CoRR, 2022

Channel Estimation with Hybrid Reconfigurable Intelligent Metasurfaces.
CoRR, 2022

Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge.
CoRR, 2022

Near-Field Wireless Power Transfer for 6G Internet of Everything Mobile Networks: Opportunities and Challenges.
IEEE Commun. Mag., 2022

Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization.
IEEE Access, 2022

Near-Field Wireless Power Transfer with Dynamic Metasurface Antennas.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Adaptive Data Augmentation for Deep Receivers.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Learn to Rapidly Optimize Hybrid Precoding.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Composite Anomaly Detection via Hierarchical Dynamic Search.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Joint Privacy Enhancement and Quantization in Federated Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2022

DeepNP: Deep Learning-Based Noise Prediction for Ultra-Reliable Low-Latency Communications.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Wideband Multi-User MIMO Communications with Frequency Selective RISs: Element Response Modeling and Sum-Rate Maximization.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

Power-Efficient Hybrid MIMO Receiver with Task-Specific Beamforming using Low-Resolution ADCs.
Proceedings of the IEEE International Conference on Acoustics, 2022

Deep-Learning-Assisted Configuration of Reconfigurable Intelligent Surfaces in Dynamic Rich-Scattering Environments.
Proceedings of the IEEE International Conference on Acoustics, 2022

CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

RTSNet: Deep Learning Aided Kalman Smoothing.
Proceedings of the IEEE International Conference on Acoustics, 2022

On the Acquisition of Stationary Signals Using Uniform ADCS.
Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Augmented Music Algorithm for Data-Driven Doa Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Symbol-Level Online Channel Tracking for Deep Receivers.
Proceedings of the IEEE International Conference on Acoustics, 2022

Recovery of Noisy Pooled Tests via Learned Factor Graphs with Application to COVID-19 Testing.
Proceedings of the IEEE International Conference on Acoustics, 2022

End-to-End Fading Channel Modeling for RIS-Empowered Smart Wireless Environments.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

Personalized Sleep State Classification via Learned Factor Graphs.
Proceedings of the 30th European Signal Processing Conference, 2022

Unsupervised Learned Kalman Filtering.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications.
IEEE Wirel. Commun., 2021

DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection.
IEEE Trans. Wirel. Commun., 2021

Spatial Modulation for Joint Radar-Communications Systems: Design, Analysis, and Hardware Prototype.
IEEE Trans. Veh. Technol., 2021

BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization.
IEEE Trans. Signal Process., 2021

UVeQFed: Universal Vector Quantization for Federated Learning.
IEEE Trans. Signal Process., 2021

Over-the-Air Federated Learning From Heterogeneous Data.
IEEE Trans. Signal Process., 2021

Task-Based Analog-to-Digital Converters.
IEEE Trans. Signal Process., 2021

LoRD-Net: Unfolded Deep Detection Network With Low-Resolution Receivers.
IEEE Trans. Signal Process., 2021

Serial Quantization for Sparse Time Sequences.
IEEE Trans. Signal Process., 2021

Dynamic Metasurface Antennas for MIMO-OFDM Receivers With Bit-Limited ADCs.
IEEE Trans. Commun., 2021

FRaC: FMCW-Based Joint Radar-Communications System Via Index Modulation.
IEEE J. Sel. Top. Signal Process., 2021

Deep Task-Based Quantization.
Entropy, 2021

Model-Based Machine Learning for Communications.
CoRR, 2021

Reconfigurable Intelligent Surfaces for Rich Scattering Wireless Communications: Recent Experiments, Challenges, and Opportunities.
IEEE Commun. Mag., 2021

Fedrec: Federated Learning of Universal Receivers Over Fading Channels.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Channel Estimation with Simultaneous Reflecting and Sensing Reconfigurable Intelligent Metasurfaces.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Model-Inspired Deep Detection with Low-Resolution Receivers.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

Joint Resource Management and Model Compression for Wireless Federated Learning.
Proceedings of the ICC 2021, 2021

Beam Focusing for Multi-User MIMO Communications with Dynamic Metasurface Antennas.
Proceedings of the IEEE International Conference on Acoustics, 2021

Hybrid Analog-Digital MIMO Radar Receivers With Bit-Limited ADCs.
Proceedings of the IEEE International Conference on Acoustics, 2021

Collaborative Inference via Ensembles on the Edge.
Proceedings of the IEEE International Conference on Acoustics, 2021

Kalmannet: Data-Driven Kalman Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2021

Bit Constrained Communication Receivers In Joint Radar Communications Systems.
Proceedings of the IEEE International Conference on Acoustics, 2021

Graph Signal Compression via Task-Based Quantization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests.
Proceedings of the IEEE International Conference on Acoustics, 2021

Task-Based Analog-to-Digital Converters for Bandlimited Systems.
Proceedings of the 29th European Signal Processing Conference, 2021

Efficient Epileptic Seizure Detection Using CNN-Aided Factor Graphs.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Jointly Learned Symbol Detection and Signal Reflection in RIS-Aided Multi-user MIMO Systems.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

A Hardware Prototype for Joint Radar-Communication System Using Spatial Modulation.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection.
IEEE Trans. Wirel. Commun., 2020

A Block Sparsity Based Estimator for mmWave Massive MIMO Channels With Beam Squint.
IEEE Trans. Signal Process., 2020

Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar.
IEEE Trans. Signal Process., 2020

Multi-Carrier Agile Phased Array Radar.
IEEE Trans. Signal Process., 2020

MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation.
IEEE Trans. Signal Process., 2020

The Capacity of Memoryless Channels With Sampled Cyclostationary Gaussian Noise.
IEEE Trans. Commun., 2020

Joint Radar-Communication Strategies for Autonomous Vehicles: Combining Two Key Automotive Technologies.
IEEE Signal Process. Mag., 2020

RF Chain Reduction for MIMO Systems: A Hardware Prototype.
IEEE Syst. J., 2020

On the Rate-Distortion Function of Sampled Cyclostationary Gaussian Processes.
Entropy, 2020

eSampling: Energy Harvesting ADCs.
CoRR, 2020

Inference from Stationary Time Sequences via Learned Factor Graphs.
CoRR, 2020

The Rate Distortion Function of Asynchronously Sampled Memoryless Cyclostationary Gaussian Processes.
CoRR, 2020

Task-based quantization with application to MIMO receivers.
Commun. Inf. Syst., 2020

Data-driven symbol detection via model-based machine learning.
Commun. Inf. Syst., 2020

The Communication-Aware Clustered Federated Learning Problem.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Data-Driven Factor Graphs for Deep Symbol Detection.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Automotive Dual-Function Radar Communications Systems: An Overview.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

A DFRC System Based on Multi-Carrier Agile FMCW MIMO Radar for Vehicular Applications.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Dynamic Metasurface Antennas for Bit-Constrained MIMO-OFDM Receivers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning Task-Based Analog-to-Digital Conversion for MIMO Receivers.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Soft Interference Cancellation for MIMO Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Federated Learning with Quantization Constraints.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Theoretical Analysis of Multi-Carrier Agile Phased Array Radar.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Complexity Reduction Methods for Index Modulation Based Dual-Function Radar Communication Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Distributed Quantization for Sparse Time Sequences.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

COTAF: Convergent Over-the-Air Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2020

Energy Harvesting via Analog-to-Digital Conversion.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Hardware-Limited Task-Based Quantization.
IEEE Trans. Signal Process., 2019

Asymptotic Task-Based Quantization With Application to Massive MIMO.
IEEE Trans. Signal Process., 2019

On the Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems.
IEEE Trans. Commun., 2019

Dynamic Metasurface Antennas for Uplink Massive MIMO Systems.
IEEE Trans. Commun., 2019

Performance analysis of LMS filters with non-Gaussian cyclostationary signals.
Signal Process., 2019

Joint Radar-Communications Strategies for Autonomous Vehicles.
CoRR, 2019

Dynamic Metasurface Antennas Based Downlink Massive MIMO Systems.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

ViterbiNet: Symbol Detection Using a Deep Learning Based Viterbi Algorithm.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

A Dual-Function Radar Communication System Using Index Modulation.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Joint Sampling and Recovery of Correlated Sources.
Proceedings of the IEEE International Symposium on Information Theory, 2019

On the Capacity of Sampled Interference-Limited Communications Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Task-Based Quantization for Recovering Quadratic Functions Using Principal Inertia Components.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Deep Quantization for MIMO Channel Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Task-Based Quantization for Massive MIMO Channel Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Spectral Efficiency of Noncooperative Uplink Massive MIMO Systems with Joint Decoding.
Proceedings of the IEEE International Conference on Acoustics, 2019

Dynamic Metasurfaces for Massive MIMO Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Neural Network Symbol Detection for Millimeter Wave Communications.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Serial Quantization for Representing Sparse Signals.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Measurement Matrix Design for Phase Retrieval Based on Mutual Information.
IEEE Trans. Signal Process., 2018

On the Capacity of MIMO Broadband Power Line Communications Channels.
IEEE Trans. Commun., 2018

Correction to "On the Capacity of Narrowband PLC Channels".
IEEE Trans. Commun., 2018

Joint Estimation of Carrier Frequency Offset and Channel Impulse Response for Linear Periodic Channels.
IEEE Trans. Commun., 2018

Bounds on the Capacity of MIMO Broadband Power Line Communications Channels.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
The Secrecy Capacity of Gaussian MIMO Channels With Finite Memory.
IEEE Trans. Inf. Theory, 2017

Adaptive Filtering Based on Time-Averaged MSE for Cyclostationary Signals.
IEEE Trans. Commun., 2017

Performance Analysis of LMS Filters for Estimation of Cyclostationary Signals.
CoRR, 2017

The Secrecy Capacity of Gaussian MIMO Channels with Finite Memory - Full Version.
CoRR, 2017

Using mutual information for designing the measurement matrix in phase retrieval problems.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Joint carrier frequency offset and channel impulse response estimation for linear periodic channels.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Carrier frequency offset estimation for linear channels with periodic characteristics.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Adaptive LMS-type filter for cyclostationary signals.
Proceedings of the International Symposium on Wireless Communication Systems, 2016

The capacity of discrete-time Gaussian MIMO channels with periodic characteristics.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
On the Capacity of Narrowband PLC Channels.
IEEE Trans. Commun., 2015

The secrecy capacity of MIMO Gaussian channels with finite memory.
Proceedings of the IEEE International Symposium on Information Theory, 2015

On the derivation of the capacity of discrete-time narrowband PLC channels.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014
Frequency-Shift Filtering for OFDM Signal Recovery in Narrowband Power Line Communications.
IEEE Trans. Commun., 2014

Frequency-shift filtering for OFDM recovery in narrowband power line communications.
Proceedings of the IEEE International Conference on Acoustics, 2014


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