-
1
-
-
67649836037
-
Der messende Luchs. Zwei verbreitete Fehler in der Galilei-Literatur. (The Measuring Lynx. Two Widespread Mistakes in the Galileo Literature)
-
A. Kleinert, "Der messende Luchs. Zwei verbreitete Fehler in der Galilei-Literatur. (The Measuring Lynx. Two Widespread Mistakes in the Galileo Literature)," N.T.M. Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin, vol. 17, pp. 199-206, 2009.
-
(2009)
N.T.M. Zeitschrift für Geschichte der Wissenschaften, Technik und Medizin
, vol.17
, pp. 199-206
-
-
Kleinert, A.1
-
2
-
-
31744440684
-
Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
-
DOI 10.1109/TIT.2005.862083
-
E. J. Candès, J. Romberg, and T. Tao, "Robust uncertaitny 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
-
3
-
-
33947416035
-
Near-optimal signal recovery from random projections: Universal encoding strategies?
-
DOI 10.1109/TIT.2006.885507
-
E. J. Candès and T. Tao, "Near-optimal signal recovery from random projections: Universal encoding strategies," IEEE Trans. Inf. Theory, vol. 52, pp. 5406-5425, 2006. (Pubitemid 46445381)
-
(2006)
IEEE Transactions on Information Theory
, vol.52
, Issue.12
, pp. 5406-5425
-
-
Candes, E.J.1
Tao, T.2
-
4
-
-
33645712892
-
Compressed sensing
-
D. L. Donoho, "Compressed sensing," IEEE Trans. Inf. Theory, vol. 52, no. 4, pp. 1289-1306, 2006.
-
(2006)
IEEE Trans. Inf. Theory
, vol.52
, Issue.4
, pp. 1289-1306
-
-
Donoho, D.L.1
-
5
-
-
84869185626
-
Sparse and redundation representation modeling-What next?
-
M. Elad, "Sparse and redundation representation modeling-What next?," IEEE Signal Process. Lett., 2012.
-
(2012)
IEEE Signal Process. Lett.
-
-
Elad, M.1
-
6
-
-
85032751965
-
Compressive sensing
-
R. Baraniuk, "Compressive sensing," IEEE Signal Process. Mag., vol. 24, no. 4, pp. 118-121, 2007.
-
(2007)
IEEE Signal Process. Mag.
, vol.24
, Issue.4
, pp. 118-121
-
-
Baraniuk, R.1
-
7
-
-
85032750937
-
An introduction to compressive sampling
-
E. Candès and M. Wakin, "An introduction to compressive sampling," IEEE Signal Process. Mag., vol. 25, no. 2, pp. 21-30, 2008.
-
(2008)
IEEE Signal Process. Mag.
, vol.25
, Issue.2
, pp. 21-30
-
-
Candès, E.1
Wakin, M.2
-
10
-
-
85032751466
-
Compressed sensing MRI
-
M. Lustig, D. Donoho, J. Santos, and J. Pauly, "Compressed sensing MRI," IEEE Signal Process. Mag., vol. 27, pp. 72-82, 2008.
-
(2008)
IEEE Signal Process. Mag.
, vol.27
, pp. 72-82
-
-
Lustig, M.1
Donoho, D.2
Santos, J.3
Pauly, J.4
-
11
-
-
66849132093
-
High-resolution radar via compressed sensing
-
M. Herman and T. Strohmer, "High-resolution radar via compressed sensing," IEEE Trans. Signal Process., vol. 57, no. 6, pp. 2275-2284, 2009.
-
(2009)
IEEE Trans. Signal Process.
, vol.57
, Issue.6
, pp. 2275-2284
-
-
Herman, M.1
Strohmer, T.2
-
12
-
-
77956563404
-
Toeplitz compressed sensing matrices with applications to sparse channel estimation
-
J. Haupt, W. Bajwa, G. Raz, and R. Nowak, "Toeplitz compressed sensing matrices with applications to sparse channel estimation," IEEE Trans. Inf. Theory, vol. 56, no. 11, pp. 5862-5875, 2010.
-
(2010)
IEEE Trans. Inf. Theory
, vol.56
, Issue.11
, pp. 5862-5875
-
-
Haupt, J.1
Bajwa, W.2
Raz, G.3
Nowak, R.4
-
14
-
-
80051736221
-
Structured compressed sensing: From theory to applications
-
M. Duarte and Y. Eldar, "Structured compressed sensing: From theory to applications," IEEE Trans. Signal Process., vol. 59, no. 9, pp. 4053-4085, 2011.
-
(2011)
IEEE Trans. Signal Process.
, vol.59
, Issue.9
, pp. 4053-4085
-
-
Duarte, M.1
Eldar, Y.2
-
15
-
-
78349246612
-
Compressive sensing and structured random matrices
-
M. Fornasier, Ed. Amsterdam, The Netherlands: deGruyter Radon Series Comp. Appl. Math.
-
H. Rauhut, "Compressive sensing and structured random matrices," in Theoretical Foundations and Numerical Methods for Sparse Recovery, M. Fornasier, Ed. Amsterdam, The Netherlands: deGruyter, 2010, vol. 9, Radon Series Comp. Appl. Math., pp. 1-92.
-
(2010)
Theoretical Foundations and Numerical Methods for Sparse Recovery
, vol.9
-
-
Rauhut, H.1
-
16
-
-
44249104733
-
On the conditioning of random subdictionaries
-
J. A. Tropp, "On the conditioning of random subdictionaries," Appl. Comput. Harmon. Anal., vol. 25, pp. 1-24, 2008.
-
(2008)
Appl. Comput. Harmon. Anal.
, vol.25
, pp. 1-4
-
-
Tropp, J.A.1
-
17
-
-
69049120308
-
Near-ideal model selection by minimization
-
E. Candès and Y. Plan, "Near-ideal model selection by minimization," Ann. Statist., vol. 37, no. 5A, pp. 2145-2177, 2009.
-
(2009)
Ann. Statist.
, vol.37
, Issue.5 A
, pp. 2145-2177
-
-
Candès, E.1
Plan, Y.2
-
18
-
-
79959751399
-
Explicit constructions of RIP matrices and related problems
-
J. Bourgain, S. Dilworth, K. Ford, S. Konyagin, and D. Kutzarova, "Explicit constructions of RIP matrices and related problems," Duke Math. J., vol. 159, no. 1, pp. 145-185, 2011.
-
(2011)
Duke Math. J.
, vol.159
, Issue.1
, pp. 145-185
-
-
Bourgain, J.1
Dilworth, S.2
Ford, K.3
Konyagin, S.4
Kutzarova, D.5
-
19
-
-
78049375266
-
Sensitivity to basis mismatch in compressed sensing
-
Dallas, TX
-
Y. Chi, A. Pezeshki, L. Scharf, and R. Calderbank, "Sensitivity to basis mismatch in compressed sensing," in Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, 2010.
-
(2010)
Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP)
-
-
Chi, Y.1
Pezeshki, A.2
Scharf, L.3
Calderbank, R.4
-
20
-
-
34247887411
-
Sampling moments and reconstructing signals of finite rate of innovation: Shannon meets strang-fix
-
DOI 10.1109/TSP.2006.890907
-
P. Dragotti, M. Vetterli, and T. Blu, "Sampling moments and reconstructing signals of finite rate of innovation: Shannon meets Strang-Fix," IEEE Trans. Signal Process., vol. 55, no. 5, pp. 1741-1757, 2007. (Pubitemid 46691625)
-
(2007)
IEEE Transactions on Signal Processing
, vol.55
, Issue.5
, pp. 1741-1757
-
-
Dragotti, P.L.1
Vetterli, M.2
Blu, T.3
-
21
-
-
84865293014
-
Coherence pattern-guided compressive sensing with unresolved grids
-
A. Fannjiang and W. Liao, "Coherence pattern-guided compressive sensing with unresolved grids," SIAM J. Imaging Sci., vol. 5, pp. 179-202, 2012.
-
(2012)
SIAM J. Imaging Sci.
, vol.5
, pp. 179-202
-
-
Fannjiang, A.1
Liao, W.2
-
22
-
-
84869190360
-
-
Preprint [arvix:1207.6053]
-
G. Tang, B. Bhaskar, P. Shah, and B. Recht, "Compressed sensing off the grid," Preprint [arvix:1207.6053], 2012.
-
(2012)
Compressed Sensing off the Grid
-
-
Tang, G.1
Bhaskar, B.2
Shah, P.3
Recht, B.4
-
25
-
-
77950244328
-
Model-based compresssive sensing
-
R. Baraniuk, V. Cevher, M. Duarte, and C. Hedge, "Model-based compresssive sensing," IEEE Trans. Inf. Theory, vol. 56, no. 4, pp. 1982-2001, 2010.
-
(2010)
IEEE Trans. Inf. Theory
, vol.56
, Issue.4
, pp. 1982-2001
-
-
Baraniuk, R.1
Cevher, V.2
Duarte, M.3
Hedge, C.4
-
26
-
-
77952576986
-
Block-sparse signals: Uncertainty relations and efficient recovery
-
Y. Eldar, P. Kuppinger, and H. Bölcskei, "Block-sparse signals: Uncertainty relations and efficient recovery," IEEE Trans. Signal Process., vol. 58, no. 6, pp. 3042-3054, 2010.
-
(2010)
IEEE Trans. Signal Process.
, vol.58
, Issue.6
, pp. 3042-3054
-
-
Eldar, Y.1
Kuppinger, P.2
Bölcskei, H.3
-
27
-
-
84860189704
-
Solving inverse problems with piece-wise linear estimators: From Gaussian mixture models to structured sparsity
-
G. Yu, G. Sapiro, and S. Mallat, "Solving inverse problems with piece-wise linear estimators: From Gaussian mixture models to structured sparsity," IEEE Trans. Image Process., vol. 21, no. 5, pp. 2481-2499, 2012.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.5
, pp. 2481-2499
-
-
Yu, G.1
Sapiro, G.2
Mallat, S.3
-
28
-
-
78549288866
-
Guaranteed minimum rank solutions of matrix equations via nuclear norm minimization
-
to be published
-
B. Recht, M. Fazel, and P. Parrilo, "Guaranteed minimum rank solutions of matrix equations via nuclear norm minimization," SIAM Rev., to be published.
-
SIAM Rev.
-
-
Recht, B.1
Fazel, M.2
Parrilo, P.3
-
29
-
-
71049116435
-
Exact matrix completion via convex optimization
-
E. Candès and B. Recht, "Exact matrix completion via convex optimization," Found. Comput. Math., vol. 9, no. 6, pp. 717-772, 2009.
-
(2009)
Found. Comput. Math.
, vol.9
, Issue.6
, pp. 717-772
-
-
Candès, E.1
Recht, B.2
-
30
-
-
80054823869
-
-
preprint [arXiv:1103. 1178]
-
S. Oymak, K. Mohan, M. Fazel, and B. Hassibi, "A simplified approach to recovery conditions for low rank matrices," preprint [arXiv:1103. 1178], 2011.
-
(2011)
A Simplified Approach to Recovery Conditions for Low Rank Matrices
-
-
Oymak, S.1
Mohan, K.2
Fazel, M.3
Hassibi, B.4
-
31
-
-
84875833302
-
Joint trace/TV norm minimization: A new efficient approach for spectral compressive imaging
-
M. Golbabaee and P. Vandergheynst, "Joint trace/TV norm minimization: A new efficient approach for spectral compressive imaging," in IEEE Int. Conf. Image Processing (ICIP), 2012.
-
(2012)
IEEE Int. Conf. Image Processing (ICIP)
-
-
Golbabaee, M.1
Vandergheynst, P.2
-
32
-
-
84870449687
-
Discussion of "latent variable graphical model selection via convex optimization"
-
to appear
-
E. Candès and M. Soltanolkotabi, "Discussion of "latent variable graphical model selection via convex optimization"," Ann. Statist., to appear.
-
Ann. Statist.
-
-
Candès, E.1
Soltanolkotabi, M.2
-
33
-
-
85162322636
-
SpaRCS: Recovering low-rank and sparse matrices from compressive measurements
-
Granada, Spain
-
A. Waters, A. Sankaranarayanan, and R. Baraniuk, "SpaRCS: Recovering low-rank and sparse matrices from compressive measurements," in Neural Information Processing Systems (NIPS), Granada, Spain, 2011.
-
(2011)
Neural Information Processing Systems (NIPS)
-
-
Waters, A.1
Sankaranarayanan, A.2
Baraniuk, R.3
-
34
-
-
84870398843
-
The convex geometry of linear inverse problems
-
to appear
-
V. Chandrasekaran, B. Recht, P. Parrilo, and A. Willsky, "The convex geometry of linear inverse problems," Found. Comput. Math., to appear.
-
Found. Comput. Math.
-
-
Chandrasekaran, V.1
Recht, B.2
Parrilo, P.3
Willsky, A.4
-
35
-
-
77954596738
-
Rényi information dimension: Fundamental limits of almost lossless analog compression
-
Y. Wu and S. Verdú, "Rényi information dimension: Fundamental limits of almost lossless analog compression," IEEE Trans. Inf. Theory, vol. 56, pp. 3721-3748, 2010.
-
(2010)
IEEE Trans. Inf. Theory
, vol.56
, pp. 3721-3748
-
-
Wu, Y.1
Verdú, S.2
-
38
-
-
0041904600
-
The phase retrieval problem
-
M. Klibanov, P. Sacks, and A. Tikhonravov, "The phase retrieval problem," Inv. Probl., vol. 11, pp. 1-28, 1995.
-
(1995)
Inv. Probl.
, vol.11
, pp. 1-28
-
-
Klibanov, M.1
Sacks, P.2
Tikhonravov, A.3
-
39
-
-
84878423413
-
Phaselift: Exact and stable signal recovery from magnitude measurements via convex programming
-
to appear
-
E. Candès, T. Strohmer, and V. Voroninski, "Phaselift: Exact and stable signal recovery from magnitude measurements via convex programming," Commun. Pure Appl. Math., to appear.
-
Commun. Pure Appl. Math.
-
-
Candès, E.1
Strohmer, T.2
Voroninski, V.3
-
41
-
-
44949171442
-
Terahertz imaging with compressed sensing and phase retrieval
-
W. Chan, M. Moravec, R. Baraniuk, and D. Mittleman, "Terahertz imaging with compressed sensing and phase retrieval," Opt. Lett., vol. 33, no. 9, pp. 974-976, 2008.
-
(2008)
Opt. Lett.
, vol.33
, Issue.9
, pp. 974-976
-
-
Chan, W.1
Moravec, M.2
Baraniuk, R.3
Mittleman, D.4
-
42
-
-
84867081422
-
-
preprint [arxiv:1111.6323v3]
-
H. Ohlsson, A. Yang, R. Dong, and S. Sastry, "Compressive phase retrieval from squared output measurements via semidefinite programming," preprint [arxiv:1111.6323v3], 2012.
-
(2012)
Compressive Phase Retrieval from Squared Output Measurements Via Semidefinite Programming
-
-
Ohlsson, H.1
Yang, A.2
Dong, R.3
Sastry, S.4
-
45
-
-
39449126969
-
Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
-
M. A. T. Figueiredo, R. D. Nowak, and S. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," IEEE J. Sel. Topics Signal Process., vol. 1, no. 4, pp. 586-598, 2007.
-
(2007)
IEEE J. Sel. Topics Signal Process.
, vol.1
, Issue.4
, pp. 586-598
-
-
Figueiredo, M.A.T.1
Nowak, R.D.2
Wright, S.3
-
46
-
-
69649095451
-
Fixed-point continuation for -minimization: Methodology and convergence
-
E. Hale, W. Yin, and Y. Zhang, "Fixed-point continuation for -minimization: Methodology and convergence," SIAM J. Optim., vol. 19, no. 3, pp. 1107-1130, 2008.
-
(2008)
SIAM J. Optim.
, vol.19
, Issue.3
, pp. 1107-1130
-
-
Hale, E.1
Yin, W.2
Zhang, Y.3
-
47
-
-
84869190363
-
-
Tech. Rep.11-08
-
M. Burger, M. Moeller, M. Benning, and S. Osher, An Adaptive Inverse Scale Space Method for Compressed Sensing UCLA, Tech. Rep.11-08, 2011.
-
(2011)
An Adaptive Inverse Scale Space Method for Compressed Sensing UCLA
-
-
Burger, M.1
Moeller, M.2
Benning, M.3
Osher, S.4
-
48
-
-
79957957723
-
Fixed point and bregman iterative methods for matrix rank minimization
-
S. Ma, D. Goldfarb, and L. Chen, "Fixed point and bregman iterative methods for matrix rank minimization," Math. Progr., vol. 128, no. 1-2, pp. 321-353, 2011.
-
(2011)
Math. Progr.
, vol.128
, Issue.1-2
, pp. 321-353
-
-
Ma, S.1
Goldfarb, D.2
Chen, L.3
-
49
-
-
7044231546
-
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
-
DOI 10.1002/cpa.20042
-
I. Daubechies, M. Defrise, and C. De Mol, "An iterative thresholding algorithm for linear inverse problems with a sparsity constraint," Commun. Pure Appl. Math., vol. 57, no. 11, pp. 1413-1457, 2004. (Pubitemid 39427442)
-
(2004)
Communications on Pure and Applied Mathematics
, vol.57
, Issue.11
, pp. 1413-1457
-
-
Daubechies, I.1
Defrise, M.2
De Mol, C.3
-
50
-
-
48349106240
-
Iterative thresholding algorithms
-
M. Fornasier and H. Rauhut, "Iterative thresholding algorithms," Appl. Comput. Harmon. Anal., vol. 25, no. 2, pp. 187-208, 2008.
-
(2008)
Appl. Comput. Harmon. Anal.
, vol.25
, Issue.2
, pp. 187-208
-
-
Fornasier, M.1
Rauhut, H.2
-
51
-
-
85014561619
-
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
-
A. Beck and M. Teboulle, "A fast iterative shrinkage-thresholding algorithm for linear inverse problems," SIAM J. Imag. Sci., vol. 2, no. 1, pp. 183-202, 2009.
-
(2009)
SIAM J. Imag. Sci.
, vol.2
, Issue.1
, pp. 183-202
-
-
Beck, A.1
Teboulle, M.2
-
52
-
-
73149095169
-
Message-passing algorithms for compressed sensing
-
D. Donoho, A. Maleki, and A. Montanari, "Message-passing algorithms for compressed sensing," Proc. Nat. Acad. Sci. (PNAS), vol. 106, no. 45, pp. 18914-18919, 2009.
-
(2009)
Proc. Nat. Acad. Sci. (PNAS)
, vol.106
, Issue.45
, pp. 18914-18919
-
-
Donoho, D.1
Maleki, A.2
Montanari, A.3
-
53
-
-
84862615894
-
Compressive imaging using approximate message passing and a Markov-tree prior
-
S. Som and P. Schniter, "Compressive imaging using approximate message passing and a Markov-tree prior," IEEE Trans. Signal Process., vol. 60, no. 7, pp. 3439-3448, 2012.
-
(2012)
IEEE Trans. Signal Process.
, vol.60
, Issue.7
, pp. 3439-3448
-
-
Som, S.1
Schniter, P.2
-
54
-
-
84870412882
-
-
Online
-
[Online]. Available: https://sites.google.com/site/igorcarron2/com- pressedsensinghardware
-
-
-
-
55
-
-
79951478824
-
More is less. Signal processing and the data deluge
-
R. Baraniuk, "More is less. Signal processing and the data deluge," Science, vol. 331, p. 717, 2011.
-
(2011)
Science
, vol.331
, pp. 717
-
-
Baraniuk, R.1
|