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20002022
most citedStructured Compressed Sensing: From Theory to Applications

1.2k citations · 2.3k across the 64 of their papers we have counts for

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47 papers · 1 filter

eess.SP20214 cited

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…

eess.SP2021

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…

eess.SP2021

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…

eess.SP2021

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…

eess.SP20214 cited

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…

eess.SP20219 cited

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…