-
1
-
-
61549103040
-
Blind multiband signal reconstruction: Compressed Sensing for analog signals
-
Mar
-
M. Mishali and Y. C. Eldar, "Blind multiband signal reconstruction: Compressed Sensing for analog signals," IEEE Trans. Signal Process., vol. 57, no. 3, pp. 993-1009, Mar. 2009.
-
(2009)
IEEE Trans. Signal Process
, vol.57
, Issue.3
, pp. 993-1009
-
-
Mishali, M.1
Eldar, Y.C.2
-
2
-
-
77949662812
-
From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals
-
Apr
-
M. Mishali and Y. C. Eldar, "From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals," IEEE J. Sel. Topics in Signal Process., Special Issue on Compressed Sens., vol. 4, no. 2, pp. 375-391, Apr. 2010.
-
(2010)
IEEE J. Sel. Topics in Signal Process., Special Issue on Compressed Sens
, vol.4
, Issue.2
, pp. 375-391
-
-
Mishali, M.1
Eldar, Y.C.2
-
3
-
-
0034270365
-
Perfect reconstruction formulas and bounds on aliasing error in sub-Nyquist nonuniform sampling of multiband signals
-
Sep
-
R. Venkataramani and Y. Bresler, "Perfect reconstruction formulas and bounds on aliasing error in sub-Nyquist nonuniform sampling of multiband signals," IEEE Trans. Inf. Theory, vol. 46, no. 6, pp. 2173-2183, Sep. 2000.
-
(2000)
IEEE Trans. Inf. Theory
, vol.46
, Issue.6
, pp. 2173-2183
-
-
Venkataramani, R.1
Bresler, Y.2
-
4
-
-
25444450079
-
A sparse signal reconstruction perspective for source localization with sensor arrays
-
DOI 10.1109/TSP.2005.850882
-
D. Malioutov, M. Cetin, and A. Willsky, "A sparse signal reconstruction perspective for source localization with sensor arrays," IEEE Trans. Signal Process., vol. 53, no. 8, pp. 3010-3022, Aug. 2005. (Pubitemid 41372811)
-
(2005)
IEEE Transactions on Signal Processing
, vol.53
, Issue.8
, pp. 3010-3022
-
-
Malioutov, D.1
Cetin, M.2
Willsky, A.S.3
-
5
-
-
33645712892
-
Compressed sensing
-
D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 2, pp. 1289-1306, 2006.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.2
, pp. 1289-1306
-
-
Donoho, D.L.1
-
6
-
-
59749104367
-
From sparse solutions of systems of equations to sparse modeling of signals and images
-
A. M. Bruckstein, D. L. Donoho, and M. Elad, "From sparse solutions of systems of equations to sparse modeling of signals and images," SIAM Rev., vol. 51, no. 1, p. 34, 2009.
-
(2009)
SIAM Rev
, vol.51
, Issue.1
, pp. 34
-
-
Bruckstein, A.M.1
Donoho, D.L.2
Elad, M.3
-
8
-
-
33645744108
-
Sparse representations are most likely to be the sparsest possible
-
pt. Paper No. 96247
-
M. Elad, "Sparse representations are most likely to be the sparsest possible," EURASIP J. Appl. Signal Process., pt. Paper No. 96247, 2006.
-
(2006)
EURASIP J. Appl. Signal Process
-
-
Elad, M.1
-
9
-
-
85032750937
-
An introduction to compressive sampling
-
Mar
-
E. J. Candes and M. B. Wakin, "An introduction to compressive sampling," IEEE Signal Process. Mag., vol. 25, no. 2, pp. 21-30, Mar. 2008.
-
(2008)
IEEE Signal Process. Mag
, vol.25
, Issue.2
, pp. 21-30
-
-
Candes, E.J.1
Wakin, M.B.2
-
10
-
-
0031102203
-
Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm
-
I. F. Gorodnitsky and B. D. Rao, "Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm," IEEE Trans. Signal Process., vol. 45, no. 3, pp. 600-616, Mar. 1997. (Pubitemid 127765947)
-
(1997)
IEEE Transactions on Signal Processing
, vol.45
, Issue.3
, pp. 600-616
-
-
Gorodnitsky, I.F.1
Rao, B.D.2
-
11
-
-
79951590814
-
Online sparse system identification and signal reconstruction using projection onto weighted balls
-
Mar
-
Y. Kopsinis, K. Slavakins, and S. Theodoridis, "Online sparse system identification and signal reconstruction using projection onto weighted balls," IEEE Trans. Signal Process., vol. 59, pp. 936-952, Mar. 2011.
-
(2011)
IEEE Trans. Signal Process
, vol.59
, pp. 936-952
-
-
Kopsinis, Y.1
Slavakins, K.2
Theodoridis, S.3
-
12
-
-
33744552752
-
For most large underdetermined systems of linear equations, the minimal '1-norm near-solution approximates the sparsest near-solution
-
Jul
-
D. L. Donoho, "For most large underdetermined systems of linear equations, the minimal '1-norm near-solution approximates the sparsest near-solution," Commun. Pure Appl. Math., vol. 59, no. 7, pp. 907-934, Jul. 2006.
-
(2006)
Commun. Pure Appl. Math
, vol.59
, Issue.7
, pp. 907-934
-
-
Donoho, D.L.1
-
13
-
-
0035273106
-
Atomic decomposition by basis pursuit
-
DOI 10.1137/S003614450037906X, PII S003614450037906X
-
S. S. Chen, D. L. Donoho, and M.A. Saunders, "Atomic decomposition by basis pursuit," SIAM Rev., vol. 43, no. 1, pp. 129-159, 2001. (Pubitemid 32406896)
-
(2001)
SIAM Review
, vol.43
, Issue.1
, pp. 129-159
-
-
Chen, S.S.1
Donoho, D.L.2
Saunders, M.A.3
-
15
-
-
23844477225
-
Sparse solutions to linear inverse problems with multiple measurement vectors
-
DOI 10.1109/TSP.2005.849172
-
S. F. Cotter, B. D. Rao, and K. Kreutz-Delgado, "Sparse solutions to linear inverse problems with multiple measurement vectors," IEEE Trans. Signal Process., vol. 53, pp. 2477-2488, Jul. 2005. (Pubitemid 41174440)
-
(2005)
IEEE Transactions on Signal Processing
, vol.53
, Issue.7
, pp. 2477-2488
-
-
Cotter, S.F.1
Rao, B.D.2
Engan, K.3
Kreutz-Delgado, K.4
-
16
-
-
33947142837
-
Theoretical results on sparse representations of multiple-measurement vectors
-
DOI 10.1109/TSP.2006.881263
-
J. Chen and X. Huo, "Theoretical results on sparse representations of multiple-measurement vectors," IEEE Trans. Signal Process., vol. 53, pp. 4634-4643, Dec. 2006. (Pubitemid 46405606)
-
(2006)
IEEE Transactions on Signal Processing
, vol.54
, Issue.12
, pp. 4634-4643
-
-
Chen, J.1
Huo, X.2
-
18
-
-
57349174008
-
Enhancing sparsity by reweighted minimization
-
Dec
-
E. J. Candes, M. B. Wakin, and S. P. Boyd, "Enhancing sparsity by reweighted minimization," J. Fourier Anal. Appl., vol. 14, no. 5, pp. 877-905, Dec. 2008.
-
(2008)
J. Fourier Anal. Appl
, vol.14
, Issue.5
, pp. 877-905
-
-
Candes, E.J.1
Wakin, M.B.2
Boyd, S.P.3
-
19
-
-
3242708140
-
Least angle regression
-
DOI 10.1214/009053604000000067
-
B. Efron, T. Hastie, I. M. Johnstone, and R. Tibshirani, "Least angle regression," Ann. Statist., vol. 32, no. 2, pp. 407-499, 2004. (Pubitemid 41250302)
-
(2004)
Annals of Statistics
, vol.32
, Issue.2
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
Ishwaran, H.5
Knight, K.6
Loubes, J.-M.7
Massart, P.8
Madigan, D.9
Ridgeway, G.10
Rosset, S.11
Zhu, J.I.12
Stine, R.A.13
Turlach, B.A.14
Weisberg, S.15
Hastie, T.16
Johnstone, I.17
Tibshirani, R.18
-
22
-
-
53149111169
-
Reduce and boost: Recovering arbitrary sets of jointly sparse vectors
-
Oct
-
M. Mishali and Y. C. Eldar, "Reduce and boost: Recovering arbitrary sets of jointly sparse vectors," IEEE Trans. Signal Process., vol. 56, no. 10, pp. 4692-4702, Oct. 2008.
-
(2008)
IEEE Trans. Signal Process
, vol.56
, Issue.10
, pp. 4692-4702
-
-
Mishali, M.1
Eldar, Y.C.2
-
23
-
-
31744440684
-
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
-
DOI 10.1109/TIT.2005.862083
-
E. J. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory, vol. 52, pp. 489-509, Feb. 2006. (Pubitemid 43174093)
-
(2006)
IEEE Transactions on Information Theory
, vol.52
, Issue.2
, pp. 489-509
-
-
Candes, E.J.1
Romberg, J.2
Tao, T.3
-
24
-
-
5444237123
-
Greed is good: Algorithmic results for sparse approximation
-
Oct
-
J. A. Tropp, "Greed is good: Algorithmic results for sparse approximation," IEEE Trans. Inf. Theory, vol. 50, no. 10, pp. 2231-2242, Oct. 2004.
-
(2004)
IEEE Trans. Inf. Theory
, vol.50
, Issue.10
, pp. 2231-2242
-
-
Tropp, J.A.1
-
26
-
-
84892407191
-
-
[Online]
-
M. C. Grant, CVX [Online]. Available: http://cvxr.com/
-
CVX
-
-
Grant, M.C.1
-
27
-
-
30844461481
-
Algorithms for simultaneous approximation. Part II: Convex relaxation
-
Apr
-
J. A. Tropp, "Algorithms for simultaneous approximation. Part II: Convex relaxation," Signal Process. Special Issue, vol. 86, pp. 598-602, Apr. 2006.
-
(2006)
Signal Process. Special Issue
, vol.86
, pp. 598-602
-
-
Tropp, J.A.1
|