1.2k citations · 2.3k across the 71 of their papers we have counts for
8 papers · 2 filters
Deep Signal Recovery with One-Bit Quantization
Shahin Khobahi, Naveed Naimipour, Mojtaba Soltanalian +1
Machine learning, and more specifically deep learning, have shown remarkable performance in sensing, communications, and inference. In this paper, we consider the application of th…
Asymptotic Task-Based Quantization with Application to Massive MIMO
Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues
Quantizers take part in nearly every digital signal processing system which operates on physical signals. They are commonly designed to accurately represent the underlying signal,…
TenDSuR: Tensor-Based 4D Sub-Nyquist Radar
Siqi Na, Kumar Vijay Mishra, Yimin Liu +2
We propose Tensor-based 4D Sub-Nyquist Radar (TenDSuR) that samples in spectral, spatial, Doppler, and temporal domains at sub-Nyquist rates while simultaneously recovering the tar…
Sub-Nyquist Radar Systems: Temporal, Spectral and Spatial Compression
Deborah Cohen, Yonina C. Eldar
Conventional radar transmits electromagnetic waves towards the targets of interest. In between the outgoing pulses, the radar measures the signal reflected from the targets to dete…
A Cognitive Sub-Nyquist MIMO Radar Prototype
Kumar Vijay Mishra, Yonina C. Eldar, Eli Shoshan +2
We present a cognitive prototype that demonstrates a colocated, frequency-division-multiplexed, multiple-input multiple-output (MIMO) radar which implements both temporal and spati…
A Markov Variation Approach to Smooth Graph Signal Interpolation
Ayelet Heimowitz, Yonina C. Eldar
In this paper we present the Markov variation, a smoothness measure which offers a probabilistic interpretation of graph signal smoothness. This measure is then used to develop an…