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most citedStructured Compressed Sensing: From Theory to Applications

1.2k citations · 2.3k across the 71 of their papers we have counts for

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Showing 2019 · eess.SPShow all

14 papers · 2 filters

eess.SP2019

Optimizing Pilots and Analog Processing for Channel Estimation in Cell-Free Massive MIMO With One-Bit ADCs

Seok-Hwan Park, Osvaldo Simeone, Yonina C. Eldar +1

In a cell-free cloud radio access network (C-RAN) architecture, uplink channel estimation is carried out by a centralized baseband processing unit (BBU) connected to distributed re…

eess.SP2019

MAJoRCom: A Dual-Function Radar Communication System Using Index Modulation

Tianyao Huang, Nir Shlezinger, Xingyu Xu +2

Dual-function radar communication (DFRC) systems implement both sensing and communication using the same hardware. Such schemes are often more efficient in terms of size, power, an…

eess.SP2019

Deep Task-Based Quantization

Nir Shlezinger, Yonina C. Eldar

Quantizers play a critical role in digital signal processing systems. Recent works have shown that the performance of quantization systems acquiring multiple analog signals using s…

eess.SP2019

Deep learning in ultrasound imaging

Ruud JG van Sloun, Regev Cohen, Yonina C Eldar

We consider deep learning strategies in ultrasound systems, from the front-end to advanced applications. Our goal is to provide the reader with a broad understanding of the possibl…

eess.SP2019

Deep Neural Network Symbol Detection for Millimeter Wave Communications

Yun Liao, Nariman Farsad, Nir Shlezinger +2

This paper proposes to use a deep neural network (DNN)-based symbol detector for mmWave systems such that CSI acquisition can be bypassed. In particular, we consider a sliding bidi…

eess.SP2019

Multi-Carrier Agile Phased Array Radar

Tianyao Huang, Nir Shlezinger, Xingyu Xu +3

Modern radar systems are expected to operate reliably in congested environments. A candidate technology for meeting these demands is frequency agile radar (FAR), which randomly cha…