1.2k citations · 2.3k across the 64 of their papers we have counts for
27 papers · 1 filter
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding
Qiyu Hu, Yunlong Cai, Kai Kang +3
In this paper, we propose an end-to-end deep learning-based joint transceiver design algorithm for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, w…
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…
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover
Wei Pu, Chao Zhou, Yonina C. Eldar +1
In this paper, we consider deep neural networks for solving inverse problems that are robust to forward model mis-specifications. Specifically, we treat sensing problems with model…
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…