-
1
-
-
34249671661
-
Analysis versus synthesis in signal priors
-
DOI 10.1088/0266-5611/23/3/007, PII S0266561107384888, 007
-
M. Elad, P. Milanfar, and R. Rubinstein, "Analysis versus synthesis in signal priors," Inv. Probl., vol. 23, no. 3, pp. 947-968, 2007. (Pubitemid 46838835)
-
(2007)
Inverse Problems
, vol.23
, Issue.3
, pp. 947-968
-
-
Elad, M.1
Milanfar, P.2
Rubinstein, R.3
-
2
-
-
77952743135
-
Computational methods for sparse solution of linear inverse problems
-
J. A. Tropp and S. J. Wright, "Computational methods for sparse solution of linear inverse problems," Proc. IEEE, vol. 98, no. 6, pp. 948-958, 2010.
-
(2010)
Proc. IEEE
, vol.98
, Issue.6
, pp. 948-958
-
-
Tropp, J.A.1
Wright, S.J.2
-
4
-
-
84897584301
-
Analysis k-SVD: A dictionarylearning algorithm for the analysis sparse model
-
R. Rubinstein, T. Peleg, and M. Elad, "Analysis k-SVD: A dictionarylearning algorithm for the analysis sparse model," IEEE Trans. Signal Process., vol. 61, no. 3, pp. 661-677, 2013.
-
(2013)
IEEE Trans. Signal Process
, vol.61
, Issue.3
, pp. 661-677
-
-
Rubinstein, R.1
Peleg, T.2
Elad, M.3
-
5
-
-
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, no. 2, pp. 489-509, 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
-
6
-
-
85032751389
-
Imaging via compressive sampling
-
J. Romberg, "Imaging via compressive sampling," IEEE Signal Process. Mag., vol. 25, no. 2, pp. 14-20, 2008.
-
(2008)
IEEE Signal Process. Mag
, vol.25
, Issue.2
, pp. 14-20
-
-
Romberg, J.1
-
7
-
-
60449120149
-
Fields of experts
-
S. Roth and M. Black, "Fields of experts," Int. J. Comput. Vision, vol. 82, no. 2, pp. 205-229, 2009.
-
(2009)
Int. J. Comput. Vision
, vol.82
, Issue.2
, pp. 205-229
-
-
Roth, S.1
Black, M.2
-
8
-
-
84867590112
-
Noise aware analysis operator learning for approximately cosparse signals
-
M. Yaghoobi, S. Nam, R. Gribonval, and M. E. Davies, "Noise aware analysis operator learning for approximately cosparse signals," in IEEE Int. Conf. on Acoustics, Speech and Signal Proc. (ICASSP), 2012.
-
(2012)
IEEE Int. Conf. on Acoustics, Speech and Signal Proc. (ICASSP)
-
-
Yaghoobi, M.1
Nam, S.2
Gribonval, R.3
Davies, M.E.4
-
9
-
-
33751379736
-
Image denoising via sparse and redundant representations over learned dictionaries
-
DOI 10.1109/TIP.2006.881969
-
M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries," IEEE Trans. Image Process., vol. 15, no. 12, pp. 3736-3745, 2006. (Pubitemid 44811686)
-
(2006)
IEEE Transactions on Image Processing
, vol.15
, Issue.12
, pp. 3736-3745
-
-
Elad, M.1
Aharon, M.2
-
10
-
-
80053949919
-
Blind compressed sensing
-
S. Gleichman and Y. C. Eldar, "Blind compressed sensing," IEEE Trans. Inf. Theory, vol. 57, no. 10, pp. 6958-6975, 2011.
-
(2011)
IEEE Trans. Inf. Theory
, vol.57
, Issue.10
, pp. 6958-6975
-
-
Gleichman, S.1
Eldar, Y.C.2
-
11
-
-
84867597683
-
-
[Online]. Available: arXiv:1103.2469v1
-
J. Silva, M. Chen, Y. C. Eldar, G. Sapiro, and L. Carin, "Blind compressed sensing over a structured union of subspaces," [Online]. Available: arXiv:1103.2469v1 2011
-
(2011)
Blind Compressed Sensing over A Structured Union of Subspaces
-
-
Silva, J.1
Chen, M.2
Eldar, Y.C.3
Sapiro, G.4
Carin, L.5
-
13
-
-
77949756303
-
Robust sampling and reconstruction methods for sparse signals in the presence of impulsive noise
-
R. E. Carrillo, K. E. Barner, and T. C. Aysal, "Robust sampling and reconstruction methods for sparse signals in the presence of impulsive noise," IEEE J. Sel. Topics Signal Process., vol. 4, no. 2, pp. 392-408, 2010.
-
(2010)
IEEE J. Sel. Topics Signal Process
, vol.4
, Issue.2
, pp. 392-408
-
-
Carrillo, R.E.1
Barner, K.E.2
Aysal, T.C.3
-
14
-
-
0035730017
-
An efficient hybrid conjugate gradient method for unconstrained optimization
-
DOI 10.1023/A:1012930416777
-
Y. Dai and Y. Yuan, "An efficient hybrid conjugate gradient method for unconstrained optimization," Ann. Oper. Res., vol. 103, no. 1-4, pp. 33-47, 2001. (Pubitemid 33634399)
-
(2001)
Annals of Operations Research
, vol.103
, Issue.1-4
, pp. 33-47
-
-
Dai, Y.H.1
Yuan, Y.2
-
15
-
-
84884085211
-
-
Princeton, NJ, USA: Princeton Univ. Press
-
P.-A. Absil, R. Mahony, and R. Sepulchre, Optimization Algorithms on Matrix Manifolds. Princeton, NJ, USA: Princeton Univ. Press, 2008.
-
(2008)
Optimization Algorithms on Matrix Manifolds
-
-
Absil, P.-A.1
Mahony, R.2
Sepulchre, R.3
-
16
-
-
84856154883
-
Blind source separation with compressively sensed linear mixtures
-
M. Kleinsteuber and H. Shen, "Blind source separation with compressively sensed linear mixtures," IEEE Signal Process. Lett., vol. 19, no. 2, pp. 107-110, 2012.
-
(2012)
IEEE Signal Process. Lett
, vol.19
, Issue.2
, pp. 107-110
-
-
Kleinsteuber, M.1
Shen, H.2
-
17
-
-
1942436689
-
Image quality assessment: From error visibility to structural similarity
-
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, 2004.
-
(2004)
IEEE Trans. Image Process
, vol.13
, Issue.4
, pp. 600-612
-
-
Wang, Z.1
Bovik, A.C.2
Sheikh, H.R.3
Simoncelli, E.P.4
-
18
-
-
79551550744
-
Nesta: A fast and accurate rstorder method for sparse recovery
-
S. Becker, J. Bobin, and E. J. Candes, "Nesta: A fast and accurate rstorder method for sparse recovery," SIAM J. Imag. Sci., vol. 4, no. 1, pp. 1-39, 2011.
-
(2011)
SIAM J. Imag. Sci
, vol.4
, Issue.1
, pp. 1-39
-
-
Becker, S.1
Bobin, J.2
Candes, E.J.3
-
19
-
-
84875741860
-
An efficient augmented lagrangian method with applications to total variation minimization
-
Rice Univ., Houston, TX, USA Tech. Rep. TR12-13
-
C. Li, W. Yin, H. Jiang, and Y. Zhang, "An Efficient Augmented Lagrangian Method With Applications to Total Variation Minimization," Computational and Applied Mathematics, Rice Univ., Houston, TX, USA, 2012, Tech. Rep. TR12-13.
-
(2012)
Computational and Applied Mathematics
-
-
Li, C.1
Yin, W.2
Jiang, H.3
Zhang, Y.4
|