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Matthew King–Roskamp
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All published works
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Title
Year
Authors
+
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Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems
2024
Matthew King–Roskamp
Rustum Choksi
Tim Hoheisel
+
PDF
Chat
Do Log Factors Matter? On Optimal Wavelet Approximation and the Foundations of Compressed Sensing
2021
Ben Adcock
Simone Brugiapaglia
Matthew King–Roskamp
+
PDF
Chat
The Benefits of Acting Locally: Reconstruction Algorithms for Sparse in Levels Signals With Stable and Robust Recovery Guarantees
2021
Ben Adcock
Simone Brugiapaglia
Matthew King–Roskamp
+
Iterative and greedy algorithms for the sparsity in levels model in compressed sensing
2021
Ben Adcock
Simone Brugiapaglia
Matthew King–Roskamp
+
PDF
Chat
Iterative and greedy algorithms for the sparsity in levels model in compressed sensing
2019
Ben Adcock
Simone Brugiapaglia
Matthew King–Roskamp
+
Do log factors matter? On optimal wavelet approximation and the foundations of compressed sensing
2019
Ben Adcock
Simone Brugiapaglia
Matthew King–Roskamp
Common Coauthors
Coauthor
Papers Together
Simone Brugiapaglia
5
Ben Adcock
5
Tim Hoheisel
1
Rustum Choksi
1
Commonly Cited References
Action
Title
Year
Authors
# of times referenced
+
On asymptotic structure in compressed sensing
2014
Bogdan Roman
Anders C. Hansen
Ben Adcock
5
+
PDF
Chat
Robustness to Unknown Error in Sparse Regularization
2018
Simone Brugiapaglia
Ben Adcock
5
+
PDF
Chat
Structured Compressed Sensing: From Theory to Applications
2011
Marco F. Duarte
Yonina C. Eldar
5
+
PDF
Chat
BREAKING THE COHERENCE BARRIER: A NEW THEORY FOR COMPRESSED SENSING
2017
Ben Adcock
Anders C. Hansen
Clarice Poon
Bogdan Roman
5
+
Uniform recovery in infinite-dimensional compressed sensing and applications to structured binary sampling
2021
Ben Adcock
Vegard Antun
Anders C. Hansen
5
+
PDF
Chat
Model-Based Compressive Sensing
2010
Richard G. Baraniuk
Volkan Cevher
Marco F. Duarte
Chinmay Hegde
5
+
Compressed sensing with local structure: Uniform recovery guarantees for the sparsity in levels class
2017
Chen Li
Ben Adcock
5
+
Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all
2016
Yann Traonmilin
Rémi Gribonval
5
+
PDF
Chat
Correcting for unknown errors in sparse high-dimensional function approximation
2019
Ben Adcock
Anyi Bao
Simone Brugiapaglia
4
+
PDF
Chat
The Quest for Optimal Sampling: Computationally Efficient, Structure-Exploiting Measurements for Compressed Sensing
2015
Ben Adcock
Anders C. Hansen
Bogdan Roman
4
+
PDF
Chat
Compressed Sensing with Sparse Corruptions: Fault-Tolerant Sparse Collocation Approximations
2018
Ben Adcock
Anyi Bao
John Jakeman
Akil Narayan
3
+
PDF
Chat
On the Absence of Uniform Recovery in Many Real-World Applications of Compressed Sensing and the Restricted Isometry Property and Nullspace Property in Levels
2017
Alexander Bastounis
Anders C. Hansen
3
+
A Wavelet Tour of Signal Processing : The Sparse Way
2008
Stéphane Mallat
Gabriel Peyré
3
+
PDF
Chat
Refined Analysis of Sparse MIMO Radar
2016
Dominik Dorsch
Holger Rauhut
3
+
Compressed Sensing and Parallel Acquisition
2017
Il Yong Chun
Ben Adcock
3
+
PDF
Chat
Approximation Algorithms for Model-Based Compressive Sensing
2015
Chinmay Hegde
Piotr Indyk
Ludwig Schmidt
3
+
Compressed sensing with structured sparsity and structured acquisition
2017
Claire Boyer
Jérémie Bigot
Pierre Weiss
3
+
Iterative hard thresholding for compressed sensing
2009
Thomas Blumensath
Mike E. Davies
3
+
PDF
Chat
Optimal sparse recovery for multi-sensor measurements
2016
Il Yong Chun
Ben Adcock
3
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CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
2008
Deanna Needell
Joel A. Tropp
3
+
PDF
Chat
A wide-angle view at iterated shrinkage algorithms
2007
Michael Elad
Boaz Matalon
Joseph Shtok
Michael Zibulevsky
3
+
PDF
Chat
A Practical Guide to the Recovery of Wavelet Coefficients from Fourier Measurements
2016
Milana Gatarić
Clarice Poon
2
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Optimization methods for MR image reconstruction
2019
Jeffrey A. Fessler
2
+
PDF
Chat
Optimal Compressive Imaging of Fourier Data
2018
Gitta Kutyniok
Wang‐Q Lim
2
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Generalized sampling: stable reconstructions, inverse problems and compressed sensing over the continuum
2013
Ben Adcock
Anders C. Hansen
Bogdan Roman
Gerd Teschke
2
+
PDF
Chat
Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices
2014
Tommaso Cai
Anru R. Zhang
2
+
Compressed sensing and best 𝑘-term approximation
2008
Albert Cohen
Wolfgang Dahmen
Ronald DeVore
2
+
New tight frames of curvelets and optimal representations of objects with piecewise <i>C</i><sup>2</sup> singularities
2003
Emmanuel J. Candès
David L. Donoho
2
+
PDF
Chat
Compressive ghost imaging
2009
Ori Katz
Yaron Bromberg
Yaron Silberberg
2
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Stability and robustness of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:mrow><mml:msub><mml:mrow><mml:mi>ℓ</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>-minimizations with Weibull matrices and redundant dictionaries
2012
Simon Foucart
2
+
PDF
Chat
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
2010
Antonin Chambolle
Thomas Pock
2
+
PDF
Chat
Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit
2010
Deanna Needell
Roman Vershynin
2
+
PDF
Chat
Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit
2008
Deanna Needell
Roman Vershynin
2
+
PDF
Chat
Linear Stable Sampling Rate: Optimality of 2D Wavelet Reconstructions from Fourier Measurements
2015
Ben Adcock
Anders C. Hansen
Gitta Kutyniok
Jackie Ma
2
+
PDF
Chat
On the Role of Total Variation in Compressed Sensing
2015
Clarice Poon
2
+
Structure dependent sampling in compressed sensing: Theoretical guarantees for tight frames
2015
Clarice Poon
2
+
PDF
Chat
Sparsity and incoherence in compressive sampling
2007
Emmanuel J. Candès
Justin Romberg
2
+
PDF
Chat
Compressive fluorescence microscopy for biological and hyperspectral imaging
2012
Vincent Studer
J. Bobin
Makhlad Chahid
Hamed Mousavi
Emmanuel J. Candès
Maxime Dahan
2
+
PDF
Chat
Imaging via Compressive Sampling
2008
Justin Romberg
2
+
PDF
Chat
A Probabilistic and RIPless Theory of Compressed Sensing
2011
Emmanuel J. Candès
Yaniv Plan
2
+
PDF
Chat
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
2006
Emmanuel J. Candès
Justin Romberg
Terence Tao
2
+
PDF
Chat
Spread Spectrum Magnetic Resonance Imaging
2011
Gilles Puy
José P. Marques
Rolf Gruetter
Jean‐Philippe Thiran
Dimitri Van De Ville
Pierre Vandergheynst
Yves Wiaux
2
+
Spread spectrum compressed sensing MRI using chirp radio frequency pulses
2013
Xiaobo Qu
Ying Chen
Zhuang Xiaoxing
Zhiyu Yan
Di Guo
Zhong Chen
2
+
Polynomial approximation via compressed sensing of high-dimensional functions on lower sets
2017
Abdellah Chkifa
Nick Dexter
Hoang Tran
Clayton Webster
2
+
PDF
Chat
Compressed Sensing and Matrix Completion with Constant Proportion of Corruptions
2012
Xiaodong Li
2
+
On optimal wavelet reconstructions from Fourier samples: Linearity and universality of the stable sampling rate
2013
Ben Adcock
Anders C. Hansen
Clarice Poon
2
+
On the absence of the RIP in real-world applications of compressed sensing and the RIP in levels
2014
Alexander Bastounis
Anders C. Hansen
2
+
PDF
Chat
Compressed sensing imaging techniques for radio interferometry
2009
Yves Wiaux
Laurent Jacques
Gilles Puy
Anna M. M. Scaife
Pierre Vandergheynst
2
+
PDF
Chat
Lensless imaging by compressive sensing
2013
Gang Huang
Hong Jiang
Kim Matthews
Paul A. Wilford
2
+
PDF
Chat
On oracle-type local recovery guarantees in compressed sensing
2020
Ben Adcock
Claire Boyer
Simone Brugiapaglia
2