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David Donoho
David Donoho
Professor f Statistics, Stanford University
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Compressed sensing
DL Donoho
IEEE Transactions on information theory 52 (4), 1289-1306, 2006
355932006
Ideal spatial adaptation by wavelet shrinkage
DL Donoho, IM Johnstone
biometrika 81 (3), 425-455, 1994
17154*1994
De-noising by soft-thresholding
DL Donoho
IEEE transactions on information theory 41 (3), 613-627, 1995
153391995
Atomic decomposition by basis pursuit
SS Chen, DL Donoho, MA Saunders
SIAM review 43 (1), 129-159, 2001
145812001
Sparse MRI: The application of compressed sensing for rapid MR imaging
M Lustig, D Donoho, JM Pauly
Magnetic Resonance in Medicine: An Official Journal of the International …, 2007
84742007
For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
DL Donoho
Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2006
3970*2006
Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization
DL Donoho, M Elad
Proceedings of the National Academy of Sciences 100 (5), 2197-2202, 2003
37992003
Fast discrete curvelet transforms
E Candes, L Demanet, D Donoho, L Ying
multiscale modeling & simulation 5 (3), 861-899, 2006
36942006
The curvelet transform for image denoising
JL Starck, EJ Candès, DL Donoho
IEEE Transactions on image processing 11 (6), 670-684, 2002
34192002
Translation-invariant de-noising
RR Coifman, DL Donoho
Wavelets and statistics, 125-150, 1995
33481995
Wavelet shrinkage: asymptopia?
DL Donoho, IM Johnstone, G Kerkyacharian, D Picard
Journal of the Royal Statistical Society: Series B (Methodological) 57 (2 …, 1995
28991995
Stable recovery of sparse overcomplete representations in the presence of noise
DL Donoho, M Elad, VN Temlyakov
IEEE Transactions on information theory 52 (1), 6-18, 2005
28422005
Compressed sensing MRI
M Lustig, DL Donoho, JM Santos, JM Pauly
IEEE signal processing magazine 25 (2), 72-82, 2008
27742008
From sparse solutions of systems of equations to sparse modeling of signals and images
AM Bruckstein, DL Donoho, M Elad
SIAM review 51 (1), 34-81, 2009
27392009
Curvelets: A surprisingly effective nonadaptive representation for objects with edges
EJ Candes, DL Donoho
Department of Statistics, Stanford University, 1999
25951999
Uncertainty principles and ideal atomic decomposition
DL Donoho, X Huo
IEEE transactions on information theory 47 (7), 2845-2862, 2001
25572001
Message-passing algorithms for compressed sensing
DL Donoho, A Maleki, A Montanari
Proceedings of the National Academy of Sciences 106 (45), 18914-18919, 2009
25352009
Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
DL Donoho, C Grimes
Proceedings of the National Academy of Sciences 100 (10), 5591-5596, 2003
22652003
New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities
EJ Candès, DL Donoho
Communications on Pure and Applied Mathematics: A Journal Issued by the …, 2004
22482004
High-dimensional data analysis: The curses and blessings of dimensionality
DL Donoho
AMS math challenges lecture 1 (2000), 32, 2000
16992000
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