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20002026
most citedStructured Compressed Sensing: From Theory to Applications

1.2k citations · 2.3k across the 72 of their papers we have counts for

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Showing 2018 · cs.ITShow all

9 papers · 2 filters

cs.IT2018

Analysis of Frequency Agile Radar via Compressed Sensing

Tianyao Huang, Yimin Liu, Xingyu Xu +2

Frequency agile radar (FAR) is known to have excellent electronic counter-countermeasures (ECCM) performance and the potential to realize spectrum sharing in dense electromagnetic…

cs.IT2018

Blind Phaseless Short-Time Fourier Transform Recovery

Tamir Bendory, Dan Edidin, Yonina C. Eldar

The problem of recovering a pair of signals from their blind phaseless short-time Fourier transform measurements arises in several important phase retrieval applications, including…

cs.IT2018

Hardware-Limited Task-Based Quantization

Nir Shlezinger, Yonina C. Eldar, Miguel R. D. Rodrigues

Quantization plays a critical role in digital signal processing systems. Quantizers are typically designed to obtain an accurate digital representation of the input signal, operati…

cs.IT2018

iMAP Beamforming for High Quality High Frame Rate Imaging

Tanya Chernyakova, Dan Cohen, Meged Shoham +1

We present a statistical interpretation of beamforming to overcome limitations of standard delay-and-sum (DAS) processing. Both the interference and the signal of interest are view…

cs.IT2018

On MIMO Channel Capacity with Output Quantization Constraints

Abbas Khalili, Stefano Rini, Luca Barletta +2

The capacity of a Multiple-Input Multiple-Output (MIMO) channel in which the antenna outputs are processed by an analog linear combining network and quantized by a set of threshold…

cs.IT2018

Sampling and Super-resolution of Sparse Signals Beyond the Fourier Domain

Ayush Bhandari, Yonina C. Eldar

Recovering a sparse signal from its low-pass projections in the Fourier domain is a problem of broad interest in science and engineering and is commonly referred to as super-resolu…