Task-oriented sensing, computation, and communication integration for multi-device edge AI

D Wen, P Liu, G Zhu, Y Shi, J Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper studies a new multi-device edge artificial-intelligent (AI) system, which jointly
exploits the AI model split inference and integrated sensing and communication (ISAC) to …

Deep task-based quantization

N Shlezinger, YC Eldar - Entropy, 2021 - mdpi.com
Quantizers play a critical role in digital signal processing systems. Recent works have
shown that the performance of acquiring multiple analog signals using scalar analog-to …

LoRD-Net: Unfolded deep detection network with low-resolution receivers

S Khobahi, N Shlezinger… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The need to recover high-dimensional signals from their noisy low-resolution quantized
measurements is widely encountered in communications and sensing. In this paper, we …

Power-efficient hybrid MIMO receiver with task-specific beamforming using low-resolution ADCs

T Zirtiloglu, N Shlezinger, YC Eldar… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Multiple-input multiple-output (MIMO) systems utilize multiple antennas and signal
acquisition chains, facilitating multi-user communications with increased spectral efficiency …

Graph signal compression by joint quantization and sampling

P Li, N Shlezinger, H Zhang, B Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Graph signals arise in various applications, ranging from sensor networks to social media
data. The high-dimensional nature of these signals implies that they often need to be …

Design and analysis of hardware-limited non-uniform task-based quantizers

NI Bernardo, J Zhu, YC Eldar… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hardware-limited task-based quantization is a new design paradigm for data acquisition
systems equipped with serial scalar analog-to-digital converters using a small number of …

Bit constrained communication receivers in joint radar communications systems

D Ma, N Shlezinger, T Huang, Y Liu… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Dual function radar and communications (DFRC) systems are the focus of growing research
attention. The common DFRC setup considers simultaneous probing and information …

BiLiMO: Bit-limited MIMO radar via task-based quantization

F Xi, N Shlezinger, YC Eldar - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
Recent years have witnessed growing interest in reduced cost radar systems operating with
low power. Multiple-input multiple-output (MIMO) radar technology is known to achieve high …

Information Compression in the AI Era: Recent Advances and Future Challenges

J Chen, Y Fang, A Khisti, A Ozgur, N Shlezinger… - arXiv preprint arXiv …, 2024 - arxiv.org
This survey articles focuses on emerging connections between the fields of machine
learning and data compression. While fundamental limits of classical (lossy) data …

Deep task-based analog-to-digital conversion

N Shlezinger, A Amar, B Luijten… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Analog-to-digital converters (ADCs) allow physical signals to be processed using digital
hardware. Their conversion consists of two stages: Sampling, which maps a continuous-time …