-
1
-
-
33645712892
-
Compressed sensing
-
D. Donoho, "Compressed sensing.," IEEE Transactions on Information Theory, vol. 52, no. 4, pp. 1289-1306, 2006.
-
(2006)
IEEE Transactions on Information Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.1
-
2
-
-
33745604236
-
Stable signal recovery from incomplete and inaccurate measurements
-
E. J. Candès, J. Romberg, and T. Tao, "Stable signal recovery from incomplete and inaccurate measurements," Communications on Pure and Applied Mathematics, vol. 59, pp. 1207-1223, 2006.
-
(2006)
Communications on Pure and Applied Mathematics
, vol.59
, pp. 1207-1223
-
-
Candès, E.J.1
Romberg, J.2
Tao, T.3
-
3
-
-
34047182148
-
Highly sparse representations from dictionaries are unique and independent of the sparseness measure
-
May
-
R. Gribonval and M. Nielsen, "Highly sparse representations from dictionaries are unique and independent of the sparseness measure," Applied and Computational Harmonic Analysis, vol. 22, no. 3, pp. 335-355, May 2007.
-
(2007)
Applied and Computational Harmonic Analysis
, vol.22
, Issue.3
, pp. 335-355
-
-
Gribonval, R.1
Nielsen, M.2
-
4
-
-
44449127493
-
Restricted isometry properties and nonconvex compressive sensing
-
no. 035020
-
R. Chartrand and V. Staneva, "Restricted isometry properties and nonconvex compressive sensing," Inverse Problems, vol. 24, no. 035020, 2008.
-
(2008)
Inverse Problems
, vol.24
-
-
Chartrand, R.1
Staneva, V.2
-
5
-
-
77955275408
-
Sparse recovery by non-convex optimization - Instance optimality
-
July
-
R. Saab and O. Yilmaz, "Sparse recovery by non-convex optimization - instance optimality," Applied and Computational Harmonic Analysis, vol. 29, no. 1, pp. 30-48, July 2010.
-
(2010)
Applied and Computational Harmonic Analysis
, vol.29
, Issue.1
, pp. 30-48
-
-
Saab, R.1
Yilmaz, O.2
-
6
-
-
50249102754
-
Compressed sensing using prior information
-
R. von Borries, C.J. Miosso, and C. Potes, "Compressed sensing using prior information," in 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP 2007., 12-14 2007, pp. 121-124.
-
2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMPSAP 2007., 12-14 2007
, pp. 121-124
-
-
Von Borries, R.1
Miosso, C.J.2
Potes, C.3
-
9
-
-
57349174008
-
1 minimization
-
1 minimization," The Journal of Fourier Analysis and Applications, vol. 14, no. 5, pp. 877-905, 2008.
-
(2008)
The Journal of Fourier Analysis and Applications
, vol.14
, Issue.5
, pp. 877-905
-
-
Candès, E.J.1
Wakin, M.B.2
Boyd, S.P.3
-
10
-
-
77953837893
-
Noisy signal recovery via iterative reweighted l1-minimization
-
D. Needell, "Noisy signal recovery via iterative reweighted l1-minimization," in Proceedings of the 43rd Asilomar conference on Signals, systems and computers, 2009, Asilomar'09, pp. 113-117.
-
Proceedings of the 43rd Asilomar Conference on Signals, Systems and Computers, 2009, Asilomar'09
, pp. 113-117
-
-
Needell, D.1
-
12
-
-
57349181932
-
Compressed sensing and best k-term approximation
-
A. Cohen, W. Dahmen, and R. DeVore, "Compressed sensing and best k-term approximation," Journal of the American Mathematical Society, vol. 22, no. 1, pp. 211-231, 2009.
-
(2009)
Journal of the American Mathematical Society
, vol.22
, Issue.1
, pp. 211-231
-
-
Cohen, A.1
Dahmen, W.2
DeVore, R.3
|