Signal recovery from random measurements via orthogonal matching pursuit JA Tropp, AC Gilbert IEEE Transactions on information theory 53 (12), 4655-4666, 2007 | 12070 | 2007 |
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples D Needell, JA Tropp Applied and computational harmonic analysis 26 (3), 301-321, 2009 | 5906 | 2009 |
Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions N Halko, PG Martinsson, JA Tropp SIAM review 53 (2), 217-288, 2011 | 4893 | 2011 |
Greed is good: Algorithmic results for sparse approximation JA Tropp IEEE Transactions on Information theory 50 (10), 2231-2242, 2004 | 4575 | 2004 |
User-friendly tail bounds for sums of random matrices JA Tropp Foundations of computational mathematics 12, 389-434, 2012 | 1972 | 2012 |
Just relax: Convex programming methods for identifying sparse signals in noise JA Tropp IEEE transactions on information theory 52 (3), 1030-1051, 2006 | 1807* | 2006 |
Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit JA Tropp, AC Gilbert, MJ Strauss Signal processing 86 (3), 572-588, 2006 | 1584 | 2006 |
Computational methods for sparse solution of linear inverse problems JA Tropp, SJ Wright Proceedings of the IEEE 98 (6), 948-958, 2010 | 1414 | 2010 |
Beyond Nyquist: Efficient sampling of sparse bandlimited signals JA Tropp, JN Laska, MF Duarte, JK Romberg, RG Baraniuk IEEE transactions on information theory 56 (1), 520-544, 2009 | 1386 | 2009 |
An introduction to matrix concentration inequalities JA Tropp Foundations and Trends® in Machine Learning 8 (1-2), 1-230, 2015 | 1370 | 2015 |
Algorithms for simultaneous sparse approximation. Part II: Convex relaxation JA Tropp Signal Processing 86 (3), 589-602, 2006 | 870 | 2006 |
Living on the edge: Phase transitions in convex programs with random data D Amelunxen, M Lotz, MB McCoy, JA Tropp Information and Inference: A Journal of the IMA 3 (3), 224-294, 2014 | 643* | 2014 |
Designing structured tight frames via an alternating projection method JA Tropp, IS Dhillon, RW Heath, T Strohmer IEEE Transactions on information theory 51 (1), 188-209, 2005 | 599 | 2005 |
Improved analysis of the subsampled randomized Hadamard transform JA Tropp Advances in Adaptive Data Analysis 3 (01n02), 115-126, 2011 | 399 | 2011 |
Random filters for compressive sampling and reconstruction JA Tropp, MB Wakin, MF Duarte, D Baron, RG Baraniuk 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 395 | 2006 |
Randomized numerical linear algebra: Foundations and algorithms PG Martinsson, JA Tropp Acta Numerica 29, 403-572, 2020 | 393 | 2020 |
Simultaneous sparse approximation via greedy pursuit JA Tropp, AC Gilbert, MJ Strauss Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 390 | 2005 |
One sketch for all: fast algorithms for compressed sensing AC Gilbert, MJ Strauss, JA Tropp, R Vershynin Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007 | 376 | 2007 |
Paved with good intentions: analysis of a randomized block Kaczmarz method D Needell, JA Tropp Linear Algebra and its Applications 441, 199-221, 2014 | 340 | 2014 |
On the existence of equiangular tight frames MA Sustik, JA Tropp, IS Dhillon, RW Heath Jr Linear Algebra and its applications 426 (2-3), 619-635, 2007 | 304 | 2007 |