ambisonics 1change point detection 1diffusion models 1kalman filter 1machine learning 1neural networks 1online adaptation 1spatial audio 1state estimation 1upscaling 1
From the 2 of 38 linked papers with an AI index.
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eess.SP2024
Rapid and Power-Aware Learned Optimization for Modular Receive Beamforming
Ohad Levy, Nir Shlezinger
Multiple-input multiple-output (MIMO) systems play a key role in wireless communication technologies. A widely considered approach to realize scalable MIMO systems involves archite…
eess.SP2024
Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems
Mengyuan Ma, Tianyu Fang, Nir Shlezinger +3
Joint communications and sensing (JCAS) is expected to be a crucial technology for future wireless systems. This paper investigates beamforming design for a multi-user multi-target…
eess.SP2024
Deep Unfolding-Empowered MmWave Massive MIMO Joint Communications and Sensing
Nhan Thanh Nguyen, Ly V. Nguyen, Nir Shlezinger +3
In this paper, we propose a low-complexity and fast hybrid beamforming design for joint communications and sensing (JCAS) based on deep unfolding. We first derive closed-form expre…