-
1
-
-
67349272243
-
Decay properties for restricted isometry constants
-
J. D. Blanchard, C. Cartis, and J. Tanner, Decay properties for restricted isometry constants, IEEE Signal Process. Lett., 16 (2009), pp. 572-575.
-
(2009)
IEEE Signal Process. Lett.
, vol.16
, pp. 572-575
-
-
Blanchard, J.D.1
Cartis, C.2
Tanner, J.3
-
3
-
-
78751566708
-
Phase transitions for greedy sparse approximation algorithms
-
to appear
-
J. D. Blanchard, C. Cartis, J. Tanner, and A. Thompson, Phase transitions for greedy sparse approximation algorithms, Appl. Comput. Harmon. Anal., to appear.
-
Appl. Comput. Harmon. Anal.
-
-
Blanchard, J.D.1
Cartis, C.2
Tanner, J.3
Thompson, A.4
-
4
-
-
69949164527
-
Iterative hard thresholding for compressed sensing
-
T. Blumensath and M. E. Davies, Iterative hard thresholding for compressed sensing, Appl. Comput. Harmon. Anal., 27 (2009), pp. 265-274.
-
(2009)
Appl. Comput. Harmon. Anal.
, vol.27
, pp. 265-274
-
-
Blumensath, T.1
Davies, M.E.2
-
5
-
-
42649140570
-
The restricted isometry property and its implications for compressed sensing
-
E. J. Candès, The restricted isometry property and its implications for compressed sensing, C. R. Math. Acad. Sci. Paris, 346 (2008), pp. 589-592.
-
(2008)
C. R. Math. Acad. Sci. Paris
, vol.346
, pp. 589-592
-
-
Candès, E.J.1
-
6
-
-
31744440684
-
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
-
E. J. Candès, J. Romberg, and T. Tao, Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information, IEEE Trans. Inform. Theory, 52 (2006), pp. 489-509.
-
(2006)
IEEE Trans. Inform. Theory
, vol.52
, pp. 489-509
-
-
Candès, E.J.1
Romberg, J.2
Tao, T.3
-
7
-
-
29144439194
-
Decoding by linear programming
-
E. J. Candès and T. Tao, Decoding by linear programming, IEEE Trans. Inform. Theory, 51 (2005), pp. 4203-4215.
-
(2005)
IEEE Trans. Inform. Theory
, vol.51
, pp. 4203-4215
-
-
Candès, E.J.1
Tao, T.2
-
8
-
-
65749110333
-
Subspace pursuit for compressive sensing signal reconstruction
-
W. Dai and O. Milenkovic, Subspace pursuit for compressive sensing signal reconstruction, IEEE Trans. Inform. Theory, 55 (2009), pp. 2230-2249.
-
(2009)
IEEE Trans. Inform. Theory
, vol.55
, pp. 2230-2249
-
-
Dai, W.1
Milenkovic, O.2
-
9
-
-
48849086355
-
Optimal solutions for sparse principal component analysis
-
A. d'Aspremont, F. Bach, and L. El Ghaoui, Optimal solutions for sparse principal component analysis, J. Mach. Learn. Res., 9 (2008), pp. 1269-1294.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 1269-1294
-
-
D'Aspremont, A.1
Bach, F.2
El Ghaoui, L.3
-
11
-
-
74449085277
-
A numerical exploration of compressed sampling recovery
-
C. Dossal, G. Peyré, and J. Fadili, A numerical exploration of compressed sampling recovery, Linear Algebra Appl., 432 (2010), pp. 1663-1679.
-
(2010)
Linear Algebra Appl.
, vol.432
, pp. 1663-1679
-
-
Dossal, C.1
Peyré, G.2
Fadili, J.3
-
12
-
-
0000324960
-
Eigenvalues and condition numbers of random matrices
-
A. Edelman, Eigenvalues and condition numbers of random matrices, SIAM J. Matrix Anal. Appl., 9 (1988), pp. 543-560.
-
(1988)
SIAM J. Matrix Anal. Appl.
, vol.9
, pp. 543-560
-
-
Edelman, A.1
-
13
-
-
19844372999
-
Random matrix theory
-
A. Edelman and N. R. Rao, Random matrix theory, Acta Numer., 14 (2005), pp. 233-297.
-
(2005)
Acta Numer.
, vol.14
, pp. 233-297
-
-
Edelman, A.1
Rao, N.R.2
-
15
-
-
62549128663
-
Sparsest solutions of underdetermined linear systems via-qminimization for 0 < q ≤ 1
-
S. Foucart and M.-J. Lai, Sparsest solutions of underdetermined linear systems via-qminimization for 0 < q ≤ 1, Appl. Comput. Harmon. Anal., 26 (2009), pp. 395-407.
-
(2009)
Appl. Comput. Harmon. Anal.
, vol.26
, pp. 395-407
-
-
Foucart, S.1
Lai, M.-J.2
-
16
-
-
77949527718
-
Generalized power method for sparse principal component analysis
-
M. Journée, Y. Nesterov, P. Richtárik, and R. Sepulchre, Generalized power method for sparse principal component analysis, J. Mach. Learn. Res., 11 (2010), pp. 517-553.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 517-553
-
-
Journée, M.1
Nesterov, Y.2
Richtárik, P.3
Sepulchre, R.4
-
18
-
-
79251500767
-
-
D. Kleitman, private communication, 2009
-
D. Kleitman, private communication, 2009.
-
-
-
-
19
-
-
48749101457
-
Three-way arrays: Rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
-
J. B. Kruskal, Three-way arrays: Rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics, Linear Algebra and Appl., 18 (1977), pp. 95-138.
-
(1977)
Linear Algebra and Appl.
, vol.18
, pp. 95-138
-
-
Kruskal, J.B.1
-
20
-
-
0012942540
-
The concentration of measure phenomenon
-
American Mathematical Society, Providence, RI
-
M. Ledoux, The Concentration of Measure Phenomenon, Math. Surveys Monogr. 89, American Mathematical Society, Providence, RI, 2001.
-
(2001)
Math. Surveys Monogr.
, vol.89
-
-
Ledoux, M.1
-
21
-
-
38849196916
-
Reconstruction and subgaussian operators in asymptotic geometric analysis
-
S. Mendelson, A. Pajor, and N. Tomczak-Jaegermann, Reconstruction and subgaussian operators in asymptotic geometric analysis, Geom. Funct. Anal., 17 (2007), pp. 1248-1282.
-
(2007)
Geom. Funct. Anal.
, vol.17
, pp. 1248-1282
-
-
Mendelson, S.1
Pajor, A.2
Tomczak-Jaegermann, N.3
-
22
-
-
0029291966
-
Sparse approximate solutions to linear systems
-
B. K. Natarajan, Sparse approximate solutions to linear systems, SIAM J. Comput., 24 (1995), pp. 227-234.
-
(1995)
SIAM J. Comput.
, vol.24
, pp. 227-234
-
-
Natarajan, B.K.1
-
23
-
-
62749175137
-
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
-
D. Needell and J. Tropp, CoSaMP: Iterative signal recovery from incomplete and inaccurate samples, Appl. Comput. Harmon. Anal., 26 (2009), pp. 301-321.
-
(2009)
Appl. Comput. Harmon. Anal.
, vol.26
, pp. 301-321
-
-
Needell, D.1
Tropp, J.2
-
24
-
-
78349246612
-
Compressive sensing and structured random matrices
-
Walter de Gruyter, Berlin
-
H. Rauhut, Compressive sensing and structured random matrices, in Theoretical Foundations and Numerical Methods for Sparse Recovery, Radon Series Comp. Appl. Math. 9, Walter de Gruyter, Berlin, 2010, pp. 1-92.
-
(2010)
Theoretical Foundations and Numerical Methods for Sparse Recovery, Radon Series Comp. Appl. Math.
, vol.9
, pp. 1-92
-
-
Rauhut, H.1
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