CoSaMP: Iterative signal recovery from incomplete and inaccurate samples D Needell, JA Tropp Applied and computational harmonic analysis 26 (3), 301-321, 2009 | 5818 | 2009 |
Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit D Needell, R Vershynin Foundations of computational mathematics 9, 317-334, 2009 | 1364 | 2009 |
Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit D Needell, R Vershynin IEEE Journal of selected topics in signal processing 4 (2), 310-316, 2010 | 1280 | 2010 |
Compressed sensing with coherent and redundant dictionaries EJ Candes, YC Eldar, D Needell, P Randall Applied and Computational Harmonic Analysis 31 (1), 59-73, 2011 | 1082 | 2011 |
Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm D Needell, R Ward, N Srebro Advances in neural information processing systems 27, 2014 | 714 | 2014 |
Paved with good intentions: analysis of a randomized block Kaczmarz method D Needell, JA Tropp Linear Algebra and its Applications 441, 199-221, 2014 | 342 | 2014 |
Randomized Kaczmarz solver for noisy linear systems D Needell BIT Numerical Mathematics 50, 395-403, 2010 | 317 | 2010 |
Stable image reconstruction using total variation minimization D Needell, R Ward SIAM Journal on Imaging Sciences 6 (2), 1035-1058, 2013 | 258 | 2013 |
Convergence properties of the randomized extended Gauss--Seidel and Kaczmarz methods A Ma, D Needell, A Ramdas SIAM Journal on Matrix Analysis and Applications 36 (4), 1590-1604, 2015 | 222 | 2015 |
Randomized block Kaczmarz method with projection for solving least squares D Needell, R Zhao, A Zouzias Linear Algebra and its Applications 484, 322-343, 2015 | 159 | 2015 |
Signal space CoSaMP for sparse recovery with redundant dictionaries MA Davenport, D Needell, MB Wakin IEEE Transactions on Information Theory 59 (10), 6820-6829, 2013 | 155 | 2013 |
Acceleration of randomized Kaczmarz method via the Johnson–Lindenstrauss lemma YC Eldar, D Needell Numerical Algorithms 58, 163-177, 2011 | 151 | 2011 |
Exponential decay of reconstruction error from binary measurements of sparse signals RG Baraniuk, S Foucart, D Needell, Y Plan, M Wootters IEEE Transactions on Information Theory 63 (6), 3368-3385, 2017 | 139 | 2017 |
Greedy signal recovery review D Needell, J Tropp, R Vershynin 2008 42nd Asilomar conference on signals, systems and computers, 1048-1050, 2008 | 132 | 2008 |
Linear convergence of stochastic iterative greedy algorithms with sparse constraints N Nguyen, D Needell, T Woolf IEEE Transactions on Information Theory 63 (11), 6869-6895, 2017 | 114 | 2017 |
Noisy signal recovery via iterative reweighted l1-minimization D Needell 2009 Conference Record of the Forty-Third Asilomar Conference on Signals …, 2009 | 112 | 2009 |
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples J Tropp, D Needell Appl. Comput. Harmon. Anal 26 (3), 301-321, 2008 | 109 | 2008 |
Topics in compressed sensing D Needell University of California, Davis, 2009 | 104 | 2009 |
A sampling Kaczmarz--Motzkin algorithm for linear feasibility JA De Loera, J Haddock, D Needell SIAM Journal on Scientific Computing 39 (5), S66-S87, 2017 | 95 | 2017 |
Near-optimal compressed sensing guarantees for total variation minimization D Needell, R Ward IEEE transactions on image processing 22 (10), 3941-3949, 2013 | 94 | 2013 |