1.2k citations · 2.3k across the 64 of their papers we have counts for
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Task-Based Graph Signal Compression
Pei Li, Nir Shlezinger, Haiyang Zhang +2
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 comp…
Unsupervised Learned Kalman Filtering
Guy Revach, Nir Shlezinger, Timur Locher +3
In this paper we adapt KalmanNet, which is a recently pro-posed deep neural network (DNN)-aided system whose architecture follows the operation of the model-based Kalman filter (KF…
Adaptive Time-Channel Beamforming for Time-of-Flight Correction
Avner Shultzman, Oded Drori, Yonina C. Eldar
Adaptive beamforming can lead to substantial improvement in resolution and contrast of ultrasound images over standard delay and sum beamforming. Here we introduce the adaptive tim…
Residual Recovery Algorithm For Modulo Sampling
Eyar Azar, Satish Mulleti, Yonina C. Eldar
Two important attributes of analog to digital converters (ADCs) are its sampling rate and dynamic range. The sampling rate should be greater than or equal to the Nyquist rate for b…
Deep Learning for Ultrasound Beamforming
Ruud JG van Sloun, Jong Chul Ye, Yonina C Eldar
Diagnostic imaging plays a critical role in healthcare, serving as a fundamental asset for timely diagnosis, disease staging and management as well as for treatment choice, plannin…
Near-field Wireless Power Transfer for 6G Internet-of-Everything Mobile Networks: Opportunities and Challenges
Haiyang Zhang, Nir Shlezinger, Francesco Guidi +3
Radiating wireless power transfer (WPT) brings forth the possibility to cost-efficiently charge wireless devices without requiring a wiring infrastructure. As such, it is expected…