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20092023
most citedAn overview of low-rank matrix recovery from incomplete observations

458 citations · 893 across the 37 of their papers we have counts for

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7 papers · 1 filter

eess.SP2023

Slepian Beamforming: Broadband Beamforming using Streaming Least Squares

Coleman DeLude, Mark A. Davenport, Justin Romberg

In this paper we revisit the classical problem of estimating a signal as it impinges on a multi-sensor array. We focus on the case where the impinging signal's bandwidth is appreci…

eess.SP2023★ 1 cited

Learned Proximal Operator for Solving Seismic Deconvolution Problem

Peimeng Guan, Naveed Iqbal, Mark A. Davenport +1

Seismic deconvolution is an essential step in seismic data processing that aims to extract layer information from noisy observed traces. In general, this is an ill-posed problem wi…

eess.SP2022

Iterative Broadband Source Localization

Coleman DeLude, Rakshith Sharma, Santhosh Karnik +3

In this paper we consider the problem of localizing a set of broadband sources from a finite window of measurements. In the case of narrowband sources this can be reduced to the pr…

eess.SP2022★ 7 cited

Broadband Beamforming via Linear Embedding

Coleman DeLude, Santhosh Karnik, Mark Davenport +1

In modern applications multi-sensor arrays are subject to an ever-present demand to accommodate signals with higher bandwidths. Standard methods for broadband beamforming, namely d…

eess.SP2021

Thomson's Multitaper Method Revisited

Santhosh Karnik, Justin Romberg, Mark A. Davenport

Thomson's multitaper method estimates the power spectrum of a signal from equally spaced samples by averaging tapered periodograms. Discrete prolate spheroidal sequences (D…

eess.SP2019★ 24 cited

Sparse Bayesian Learning with Dynamic Filtering for Inference of Time-Varying Sparse Signals

Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell

Many signal processing applications require estimation of time-varying sparse signals, potentially with the knowledge of an imperfect dynamics model. In this paper, we propose an a…

eess.SP2019

Trading beams for bandwidth: Imaging with randomized beamforming

Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg

We study the problem of actively imaging a range-limited far-field scene using an antenna array. We describe how the range limit imposes structure in the measurements across multip…