| CoSaMP: Iterative signal recovery from incomplete and inaccurate samples D Needell, JA Tropp Applied and computational harmonic analysis 26 (3), 301-321, 2009 | 5762 | 2009 |
| Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit D Needell, R Vershynin Foundations of computational mathematics 9, 317-334, 2009 | 1349 | 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 | 1269 | 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 | 1073 | 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 | 702 | 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 | 325 | 2014 |
| Randomized Kaczmarz solver for noisy linear systems D Needell BIT Numerical Mathematics 50, 395-403, 2010 | 310 | 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 | 210 | 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 | 151 | 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 | 151 | 2013 |
| Acceleration of randomized Kaczmarz method via the Johnson–Lindenstrauss lemma YC Eldar, D Needell Numerical Algorithms 58, 163-177, 2011 | 148 | 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 | 128 | 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 | 112 | 2017 |
| Noisy signal recovery via iterative reweighted l1-minimization D Needell 2009 Conference Record of the Forty-Third Asilomar Conference on Signals …, 2009 | 111 | 2009 |
| CoSaMP: Iterative signal recovery from incomplete and inaccurate samples J Tropp, D Needell Appl. Comput. Harmon. Anal 26 (3), 301-321, 2008 | 106 | 2008 |
| Topics in compressed sensing D Needell University of California, Davis, 2009 | 104 | 2009 |
| Near-optimal compressed sensing guarantees for total variation minimization D Needell, R Ward IEEE transactions on image processing 22 (10), 3941-3949, 2013 | 93 | 2013 |
| 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 | 91 | 2017 |
Joel A. TroppSteele Family Professor of Applied & Computational Mathematics, CaltechVerified email at caltech.edu
