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Volumn , Issue , 2009, Pages 1-64

Introduction to compressed sensing

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS TIME SYSTEMS; RECOVERY;

EID: 84938488621     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511794308.002     Document Type: Chapter
Times cited : (143)

References (254)
  • 2
    • 77952743265 scopus 로고    scopus 로고
    • Compressed channel sensing: A new approach to estimating sparse multipath channels
    • W. Bajwa, J. Haupt, A. Sayeed, and R. Nowak. Compressed channel sensing: A new approach to estimating sparse multipath channels. Proc IEEE, 98(6):1058-1076, 2010.
    • (2010) Proc IEEE , vol.98 , Issue.6 , pp. 1058-1076
    • Bajwa, W.1    Haupt, J.2    Sayeed, A.3    Nowak, R.4
  • 3
    • 85032751965 scopus 로고    scopus 로고
    • Compressive sensing
    • 12
    • R. Baraniuk. Compressive sensing. IEEE Signal Proc Mag, 24(4):118-120, 124, 2007.
    • (2007) IEEE Signal Proc Mag , vol.24 , Issue.4 , pp. 118-120
    • Baraniuk, R.1
  • 5
    • 55649115527 scopus 로고    scopus 로고
    • A simple proof of the restricted isometry property for random matrices
    • R. Baraniuk, M. Davenport, R. DeVore, and M. Wakin. A simple proof of the restricted isometry property for random matrices. Const Approx, 28(3):253-263, 2008.
    • (2008) Const Approx , vol.28 , Issue.3 , pp. 253-263
    • Baraniuk, R.1    Davenport, M.2    DeVore, R.3    Wakin, M.4
  • 6
    • 58849146227 scopus 로고    scopus 로고
    • Random projections of smooth manifolds
    • R. Baraniuk and M. Wakin. Random projections of smooth manifolds. Found Comput Math, 9(1):51-77, 2009.
    • (2009) Found Comput Math , vol.9 , Issue.1 , pp. 51-77
    • Baraniuk, R.1    Wakin, M.2
  • 9
    • 77953866473 scopus 로고    scopus 로고
    • Distributed spectrum sensing for cognitive radio networks by exploiting sparsity
    • J. Bazerque and G. Giannakis. Distributed spectrum sensing for cognitive radio networks by exploiting sparsity. IEEE Trans Sig Proc, 58(3):1847-1862, 2010.
    • (2010) IEEE Trans Sig Proc , vol.58 , Issue.3 , pp. 1847-1862
    • Bazerque, J.1    Giannakis, G.2
  • 10
    • 79551681610 scopus 로고    scopus 로고
    • Error estimates for orthogonal matching pursuit and random dictionaries
    • P. Bechler and P. Wojtaszczyk. Error estimates for orthogonal matching pursuit and random dictionaries. Const Approx, 33(2):273-288, 2011.
    • (2011) Const Approx , vol.33 , Issue.2 , pp. 273-288
    • Bechler, P.1    Wojtaszczyk, P.2
  • 11
    • 85014561619 scopus 로고    scopus 로고
    • 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, 2(1):183-202, 2009.
    • (2009) SIAM J Imag Sci , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 12
    • 79551550744 scopus 로고    scopus 로고
    • Nesta: A fast and accurate first-order method for sparse recovery
    • S. Becker, J. Bobin, and E. Candes. NESTA: A fast and accurate first-order method for sparse recovery. SIAM J Imag Sci, 4(1):1-39, 2011.
    • (2011) SIAM J Imag Sci , vol.4 , Issue.1 , pp. 1-39
    • Becker, S.1    Bobin, J.2    Candes, E.3
  • 13
    • 84856004485 scopus 로고    scopus 로고
    • Templates for convex cone problems with applications to sparse signal recovery
    • S. Becker, E. Candes, and M. Grant. Templates for convex cone problems with applications to sparse signal recovery. Math Prog Comp, 3(3):165-218, 2011.
    • (2011) Math Prog Comp , vol.3 , Issue.3 , pp. 165-218
    • Becker, S.1    Candes, E.2    Grant, M.3
  • 14
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput, 15(6):1373-1396, 2003.
    • (2003) Neural Comput , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 15
    • 3142725535 scopus 로고    scopus 로고
    • Semi-supervised learning on riemannian manifolds
    • M. Belkin and P. Niyogi. Semi-supervised learning on Riemannian manifolds. Mach Learning, 56:209-239, 2004.
    • (2004) Mach Learning , vol.56 , pp. 209-239
    • Belkin, M.1    Niyogi, P.2
  • 17
    • 77952570699 scopus 로고    scopus 로고
    • The cramer-rao bound for estimating a sparse parameter vector
    • Z. Ben-Haim and Y. C. Eldar. The Cramer-Rao bound for estimating a sparse parameter vector. IEEE Trans Sig Proc, 58(6):3384-3389, 2010.
    • (2010) IEEE Trans Sig Proc , vol.58 , Issue.6 , pp. 3384-3389
    • Ben-Haim, Z.1    Eldar, Y.C.2
  • 18
    • 77956742050 scopus 로고    scopus 로고
    • Coherence-based performance guarantees for estimating a sparse vector under random noise
    • Z. Ben-Haim, Y. C. Eldar, and M. Elad. Coherence-based performance guarantees for estimating a sparse vector under random noise. IEEE Trans Sig Proc, 58(10):5030-5043, 2010.
    • (2010) IEEE Trans Sig Proc , vol.58 , Issue.10 , pp. 5030-5043
    • Ben-Haim, Z.1    Eldar, Y.C.2    Elad, M.3
  • 22
    • 0013274564 scopus 로고
    • Sur les integrales de fourier absolument convergentes et leur application a une transformation fonctionelle
    • Helsinki, Finlan
    • A. Beurling. Sur les integrales de Fourier absolument convergentes et leur application a une transformation fonctionelle. In Proc Scandi Math Congr, Helsinki, Finland, 1938.
    • (1938) Proc Scandi Math Congr
    • Beurling, A.1
  • 24
    • 69949164527 scopus 로고    scopus 로고
    • Iterative hard thresholding for compressive sensing
    • T. Blumensath and M. Davies. Iterative hard thresholding for compressive sensing. Appl Comput Harmon Anal, 27(3):265-274, 2009.
    • (2009) Appl Comput Harmon Anal , vol.27 , Issue.3 , pp. 265-274
    • Blumensath, T.1    Davies, M.2
  • 25
    • 64549135334 scopus 로고    scopus 로고
    • Sampling theorems for signals from the union of finitedimensional linear subspaces
    • T. Blumensath and M. Davies. Sampling theorems for signals from the union of finitedimensional linear subspaces. IEEE Trans Inform Theory, 55(4):1872-1882, 2009.
    • (2009) IEEE Trans Inform Theory , vol.55 , Issue.4 , pp. 1872-1882
    • Blumensath, T.1    Davies, M.2
  • 26
    • 79953091863 scopus 로고    scopus 로고
    • A quantitative notion of redundancy for finite frames
    • B. Bodmann, P. Cassaza, and G. Kutyniok. A quantitative notion of redundancy for finite frames. Appl Comput Harmon Anal, 30(3):348-362, 2011.
    • (2011) Appl Comput Harmon Anal , vol.30 , Issue.3 , pp. 348-362
    • Bodmann, B.1    Cassaza, P.2    Kutyniok, G.3
  • 27
    • 79957632493 scopus 로고    scopus 로고
    • Sparse recovery from combined fusion frame measurements
    • P. Boufounos, H. Rauhut, and G. Kutyniok. Sparse recovery from combined fusion frame measurements. IEEE Trans Inform Theory, 57(6):3864-3876, 2011.
    • (2011) IEEE Trans Inform Theory , vol.57 , Issue.6 , pp. 3864-3876
    • Boufounos, P.1    Rauhut, H.2    Kutyniok, G.3
  • 28
    • 79959751399 scopus 로고    scopus 로고
    • 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, 159(1):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
  • 29
    • 0029746550 scopus 로고    scopus 로고
    • Spectrum-blind minimum-rate sampling and reconstruction of 2-d multiband signals
    • Zurich, Switzerlan
    • Y. Bresler and P. Feng. Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals. Proc IEEE Int Conf Image Proc (ICIP), Zurich, Switzerland, 1996.
    • (1996) Proc IEEE Int Conf Image Proc (ICIP)
    • Bresler, Y.1    Feng, P.2
  • 30
    • 0040927711 scopus 로고    scopus 로고
    • The whitney reduction network: A method for computing autoassociative graphs
    • D. Broomhead and M. Kirby. The Whitney reduction network: A method for computing autoassociative graphs. Neural Comput, 13:2595-2616, 2001.
    • (2001) Neural Comput , vol.13 , pp. 2595-2616
    • Broomhead, D.1    Kirby, M.2
  • 31
    • 59749104367 scopus 로고    scopus 로고
    • From sparse solutions of systems of equations to sparse modeling of signals and images
    • A. Bruckstein, D. Donoho, and M. Elad. From sparse solutions of systems of equations to sparse modeling of signals and images. SIAM Rev, 51(1):34-81, 2009.
    • (2009) SIAM Rev , vol.51 , Issue.1 , pp. 34-81
    • Bruckstein, A.1    Donoho, D.2    Elad, M.3
  • 32
    • 79957998464 scopus 로고    scopus 로고
    • Limiting laws of coherence of random matrices with applications to testing covariance structure and construction of compressed sensing matrices
    • T. Cai and T. Jiang. Limiting laws of coherence of random matrices with applications to testing covariance structure and construction of compressed sensing matrices. Ann Stat, 39(3):1496-1525, 2011.
    • (2011) Ann Stat , vol.39 , Issue.3 , pp. 1496-1525
    • Cai, T.1    Jiang, T.2
  • 33
    • 84878104490 scopus 로고    scopus 로고
    • Compressive sampling
    • Madrid, Spai
    • E. Candes. Compressive sampling. Proc Int Congre Math, Madrid, Spain, 2006.
    • (2006) Proc Int Congre Math
    • Candes, E.1
  • 34
    • 42649140570 scopus 로고    scopus 로고
    • The restricted isometry property and its implications for compressed sensing
    • E. Candes. The restricted isometry property and its implications for compressed sensing. CRAcadSci, SerI, 346(9-10):589-592, 2008.
    • (2008) Cracadsci, Seri , vol.346 , Issue.9-10 , pp. 589-592
    • Candes, E.1
  • 35
    • 79955778301 scopus 로고    scopus 로고
    • Compressed sensing with coherent and redundant dictionaries
    • E. Candes, Y. C. Eldar, D. Needell, and P. Randall. Compressed sensing with coherent and redundant dictionaries. Appl Comput Harmon Anal, 31(1):59-73, 2010.
    • (2010) Appl Comput Harmon Anal , vol.31 , Issue.1 , pp. 59-73
    • Candes, E.1    Eldar, Y.C.2    Needell, D.3    Randall, P.4
  • 36
    • 79960675858 scopus 로고    scopus 로고
    • Robust principal component analysis?
    • E. Candes, X. Li, Y. Ma, and J. Wright. Robust principal component analysis? J ACM, 58(1):1-37, 2009.
    • (2009) J ACM , vol.58 , Issue.1 , pp. 1-37
    • Candes, E.1    Li, X.2    Ma, Y.3    Wright, J.4
  • 37
    • 69049120308 scopus 로고    scopus 로고
    • Near-ideal model selection by l1 minimization
    • E. Candes and Y. Plan. Near-ideal model selection by l1 minimization. Ann Stat, 37(5A):2145-2177, 2009.
    • (2009) Ann Stat , vol.37 , Issue.5A , pp. 2145-2177
    • Candes, E.1    Plan, Y.2
  • 38
    • 77952741387 scopus 로고    scopus 로고
    • Matrix completion with noise
    • E. Candes and Y. Plan. Matrix completion with noise. Proc IEEE, 98(6):925-936, 2010.
    • (2010) Proc IEEE , vol.98 , Issue.6 , pp. 925-936
    • Candes, E.1    Plan, Y.2
  • 39
    • 71049116435 scopus 로고    scopus 로고
    • Exact matrix completion via convex optimization
    • E. Candes and B. Recht. Exact matrix completion via convex optimization. Found Comput Math, 9(6):717-772, 2009.
    • (2009) Found Comput Math , vol.9 , Issue.6 , pp. 717-772
    • Candes, E.1    Recht, B.2
  • 40
    • 33744726904 scopus 로고    scopus 로고
    • Quantitative robust uncertainty principles and optimally sparse decompositions
    • E. Candes and J. Romberg. Quantitative robust uncertainty principles and optimally sparse decompositions. Found Comput Math, 6(2):227-254, 2006.
    • (2006) Found Comput Math , vol.6 , Issue.2 , pp. 227-254
    • Candes, E.1    Romberg, J.2
  • 41
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
    • E. Candes, J. Romberg, and T. Tao. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inform Theory, 52(2):489-509, 2006.
    • (2006) IEEE Trans Inform Theory , vol.52 , Issue.2 , pp. 489-509
    • Candes, E.1    Romberg, J.2    Tao, T.3
  • 42
    • 33745604236 scopus 로고    scopus 로고
    • Stable signal recovery from incomplete and inaccurate measurements
    • E. Candes, J. Romberg, and T. Tao. Stable signal recovery from incomplete and inaccurate measurements. Comm Pure Appl Math, 59(8):1207-1223, 2006.
    • (2006) Comm Pure Appl Math , vol.59 , Issue.8 , pp. 1207-1223
    • Candes, E.1    Romberg, J.2    Tao, T.3
  • 43
    • 29144439194 scopus 로고    scopus 로고
    • Decoding by linear programming
    • E. Candes and T. Tao. Decoding by linear programming. IEEE Trans Inform Theory, 51(12):4203-4215, 2005.
    • (2005) IEEE Trans Inform Theory , vol.51 , Issue.12 , pp. 4203-4215
    • Candes, E.1    Tao, T.2
  • 44
    • 33947416035 scopus 로고    scopus 로고
    • Near optimal signal recovery from random projections: Universal encoding strategies?
    • E. Candes and T. Tao. Near optimal signal recovery from random projections: Universal encoding strategies? IEEE Trans Inform Theory, 52(12):5406-5425, 2006.
    • (2006) IEEE Trans Inform Theory , vol.52 , Issue.12 , pp. 5406-5425
    • Candes, E.1    Tao, T.2
  • 45
    • 34548275795 scopus 로고    scopus 로고
    • The dantzig selector: Statistical estimation when p is much larger than
    • E. Candes and T. Tao. The Dantzig selector: Statistical estimation when p is much larger than n. Ann Stat, 35(6):2313-2351, 2007.
    • (2007) N. Ann Stat , vol.35 , Issue.6 , pp. 2313-2351
    • Candes, E.1    Tao, T.2
  • 46
    • 0001897012 scopus 로고
    • Uber den variabilitatsbereich der koeffizienten von potenzreihen, die gegebene werte nicht annehmen
    • C. Caratheodory. Uber den Variabilitatsbereich der Koeffizienten von Potenzreihen, die gegebene Werte nicht annehmen. Math Ann, 64:95-115, 1907.
    • (1907) Math Ann , vol.64 , pp. 95-115
    • Caratheodory, C.1
  • 47
    • 65749318481 scopus 로고
    • Uber den variabilitatsbereich der fourierschen konstanten von positiven harmonischen funktionen
    • C. Caratheodory. Uber den Variabilitatsbereich der Fourierschen Konstanten von positiven harmonischen Funktionen. Rend Circ Mat Palermo, 32:193-217, 1911.
    • (1911) Rend Circ Mat Palermo , vol.32 , pp. 193-217
    • Caratheodory, C.1
  • 52
    • 33947142837 scopus 로고    scopus 로고
    • Theoretical results on sparse representations of multiple-measurement vectors
    • J. Chen and X. Huo. Theoretical results on sparse representations of multiple-measurement vectors. IEEE Trans Sig Proc, 54(12):4634-4643, 2006.
    • (2006) IEEE Trans Sig Proc , vol.54 , Issue.12 , pp. 4634-4643
    • Chen, J.1    Huo, X.2
  • 53
    • 0032131292 scopus 로고    scopus 로고
    • Atomic decomposition by basis pursuit
    • S. Chen, D. Donoho, and M. Saunders. Atomic decomposition by basis pursuit. SIAM J Sci Comp, 20(1):33-61, 1998.
    • (1998) SIAM J Sci Comp , vol.20 , Issue.1 , pp. 33-61
    • Chen, S.1    Donoho, D.2    Saunders, M.3
  • 54
    • 79954555242 scopus 로고    scopus 로고
    • Sensitivity to basis mismatch in compressed sensing
    • Y. Chi, L. Scharf, A. Pezeshki, and R. Calderbank. Sensitivity to basis mismatch in compressed sensing. IEEE Trans Sig Proc, 59(5):2182-2195, 2011.
    • (2011) IEEE Trans Sig Proc , vol.59 , Issue.5 , pp. 2182-2195
    • Chi, Y.1    Scharf, L.2    Pezeshki, A.3    Calderbank, R.4
  • 57
    • 57349181932 scopus 로고    scopus 로고
    • Compressed sensing and best fc-term approximation
    • A. Cohen, W. Dahmen, and R. DeVore. Compressed sensing and best fc-term approximation. J Am Math Soc, 22(1):211-231, 2009.
    • (2009) J am Math Soc , vol.22 , Issue.1 , pp. 211-231
    • Cohen, A.1    Dahmen, W.2    DeVore, R.3
  • 59
    • 70349694196 scopus 로고    scopus 로고
    • Finding the frequent items in streams of data
    • G. Cormode and M. Hadjieleftheriou. Finding the frequent items in streams of data. Comm ACM, 52(10):97-105, 2009.
    • (2009) Comm ACM , vol.52 , Issue.10 , pp. 97-105
    • Cormode, G.1    Hadjieleftheriou, M.2
  • 60
    • 14844367057 scopus 로고    scopus 로고
    • Improved data stream summaries: The count-min sketch and its applications
    • G. Cormode and S. Muthukrishnan. Improved data stream summaries: The count-min sketch and its applications. J Algorithms, 55(1):58-75, 2005.
    • (2005) J Algorithms , vol.55 , Issue.1 , pp. 58-75
    • Cormode, G.1    Muthukrishnan, S.2
  • 61
    • 3543131272 scopus 로고    scopus 로고
    • Geodesic entropic graphs for dimension and entropy estimation in manifold learning
    • J. Costa and A. Hero. Geodesic entropic graphs for dimension and entropy estimation in manifold learning. IEEE Trans Sig Proc, 52(8):2210-2221, 2004.
    • (2004) IEEE Trans Sig Proc , vol.52 , Issue.8 , pp. 2210-2221
    • Costa, J.1    Hero, A.2
  • 62
    • 0036493737 scopus 로고    scopus 로고
    • Sparse channel estimation via matching pursuit with application to equalization
    • S. Cotter and B. Rao. Sparse channel estimation via matching pursuit with application to equalization. IEEE Trans Commun, 50(3):374-377, 2002.
    • (2002) IEEE Trans Commun , vol.50 , Issue.3 , pp. 374-377
    • Cotter, S.1    Rao, B.2
  • 63
    • 23844477225 scopus 로고    scopus 로고
    • Sparse solutions to linear inverse problems with multiple measurement vectors
    • S. Cotter, B. Rao, K. Engan, and K. Kreutz-Delgado. Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Trans Sig Proc, 53(7):2477-2488, 2005.
    • (2005) IEEE Trans Sig Proc , vol.53 , Issue.7 , pp. 2477-2488
    • Cotter, S.1    Rao, B.2    Engan, K.3    Kreutz-Delgado, K.4
  • 64
    • 65749110333 scopus 로고    scopus 로고
    • Subspace pursuit for compressive sensing signal reconstruction
    • W. Dai and O. Milenkovic. Subspace pursuit for compressive sensing signal reconstruction. IEEE Trans Inform Theory, 55(5):2230-2249, 2009.
    • (2009) IEEE Trans Inform Theory , vol.55 , Issue.5 , pp. 2230-2249
    • Dai, W.1    Milenkovic, O.2
  • 66
    • 7044231546 scopus 로고    scopus 로고
    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    • I. Daubechies, M. Defrise, and C. De Mol. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Comm Pure Appl Math, 57(11):1413-1457, 2004.
    • (2004) Comm Pure Appl Math , vol.57 , Issue.11 , pp. 1413-1457
    • Daubechies, I.1    Defrise, M.2    De Mol, C.3
  • 75
    • 77955735515 scopus 로고    scopus 로고
    • Analysis of orthogonal matching pursuit using the restricted isometry property
    • M. Davenport and M. Wakin. Analysis of orthogonal matching pursuit using the restricted isometry property. IEEE Trans Inform Theory, 56(9):4395-4401, 2010.
    • (2010) IEEE Trans Inform Theory , vol.56 , Issue.9 , pp. 4395-4401
    • Davenport, M.1    Wakin, M.2
  • 77
    • 85009724776 scopus 로고    scopus 로고
    • Nonlinear approximation
    • R. DeVore. Nonlinear approximation. Acta Numer, 7:51-150, 1998.
    • (1998) Acta Numer , vol.7 , pp. 51-150
    • DeVore, R.1
  • 78
    • 36248929865 scopus 로고    scopus 로고
    • Deterministic constructions of compressed sensing matrices
    • R. DeVore. Deterministic constructions of compressed sensing matrices. J Complex, 23(4):918-925, 2007.
    • (2007) J Complex , vol.23 , Issue.4 , pp. 918-925
    • DeVore, R.1
  • 79
    • 50249145166 scopus 로고    scopus 로고
    • Tree-based majorize-minimize algorithm for compressed sensing with sparse-tree prior
    • Saint Thomas, US Virgin Island
    • M. Do and C. La. Tree-based majorize-minimize algorithm for compressed sensing with sparse-tree prior. Int Workshop Comput Adv Multi-Sensor Adapt Proc (CAMSAP), Saint Thomas, US Virgin Islands, 2007.
    • (2007) Int Workshop Comput Adv Multi-Sensor Adapt Proc (CAMSAP)
    • Do, M.1    La, C.2
  • 80
    • 0029307534 scopus 로고
    • Denoising by soft-thresholding
    • D. Donoho. Denoising by soft-thresholding. IEEE Trans Inform Theory, 41(3):613-627, 1995.
    • (1995) IEEE Trans Inform Theory , vol.41 , Issue.3 , pp. 613-627
    • Donoho, D.1
  • 82
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • D. Donoho. Compressed sensing. IEEE Trans Inform Theory, 52(4):1289-1306, 2006.
    • (2006) IEEE Trans Inform Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.1
  • 83
    • 33646365077 scopus 로고    scopus 로고
    • For most large underdetermined systems of linear equations, the minimal l1-norm solution is also the sparsest solution
    • D. Donoho. For most large underdetermined systems of linear equations, the minimal l1-norm solution is also the sparsest solution. Comm Pure Appl Math, 59(6):797-829, 2006.
    • (2006) Comm Pure Appl Math , vol.59 , Issue.6 , pp. 797-829
    • Donoho, D.1
  • 84
    • 33646479497 scopus 로고    scopus 로고
    • High-dimensional centrally symmetric polytopes with neighborliness proportional to dimension
    • D. Donoho. High-dimensional centrally symmetric polytopes with neighborliness proportional to dimension. Discrete Comput Geom, 35(4):617-652, 2006.
    • (2006) Discrete Comput Geom , vol.35 , Issue.4 , pp. 617-652
    • Donoho, D.1
  • 86
    • 0037418225 scopus 로고    scopus 로고
    • Optimally sparse representation in general (Nonorthogonal) dictionaries via l1 minimization
    • D. Donoho and M. Elad. Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization. Proc Natl Acad Sci, 100(5):2197-2202, 2003.
    • (2003) Proc Natl Acad Sci , vol.100 , Issue.5 , pp. 2197-2202
    • Donoho, D.1    Elad, M.2
  • 87
    • 30844455150 scopus 로고    scopus 로고
    • On the stability of basis pursuit in the presence of noise
    • D. Donoho and M. Elad. On the stability of basis pursuit in the presence of noise. EURASIP Sig Proc J, 86(3):511-532, 2006.
    • (2006) EURASIP Sig Proc J , vol.86 , Issue.3 , pp. 511-532
    • Donoho, D.1    Elad, M.2
  • 88
    • 33144483155 scopus 로고    scopus 로고
    • Stable recovery of sparse overcomplete representations in the presence of noise
    • D. Donoho, M. Elad, and V. Temlyahov. Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans Inform Theory, 52(1):6-18, 2006.
    • (2006) IEEE Trans Inform Theory , vol.52 , Issue.1 , pp. 6-18
    • Donoho, D.1    Elad, M.2    Temlyahov, V.3
  • 89
    • 0037948870 scopus 로고    scopus 로고
    • Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
    • D. Donoho and C. Grimes. Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data. Proc Natl Acad. Sci, 100(10):5591-5596, 2003.
    • (2003) Proc Natl Acad. Sci , vol.100 , Issue.10 , pp. 5591-5596
    • Donoho, D.1    Grimes, C.2
  • 90
    • 17444432924 scopus 로고    scopus 로고
    • Image manifolds which are isometric to euclidean space
    • D. Donoho and C. Grimes. Image manifolds which are isometric to Euclidean space. J Math Imag Vision, 23(1):5-24, 2005.
    • (2005) J Math Imag Vision , vol.23 , Issue.1 , pp. 5-24
    • Donoho, D.1    Grimes, C.2
  • 91
    • 0026845575 scopus 로고
    • Signal recovery and the large sieve
    • D. Donoho and B. Logan. Signal recovery and the large sieve. SIAM J Appl Math, 52(6):577-591, 1992.
    • (1992) SIAM J Appl Math , vol.52 , Issue.6 , pp. 577-591
    • Donoho, D.1    Logan, B.2
  • 92
    • 22144471532 scopus 로고    scopus 로고
    • Neighborliness of randomly projected simplices in high dimensions
    • D. Donoho and J. Tanner. Neighborliness of randomly projected simplices in high dimensions. Proc Natl Acad Sci, 102(27):9452-9457, 2005.
    • (2005) Proc Natl Acad Sci , vol.102 , Issue.27 , pp. 9452-9457
    • Donoho, D.1    Tanner, J.2
  • 93
    • 22144488449 scopus 로고    scopus 로고
    • Sparse nonnegative solutions of undetermined linear equations by linear programming
    • D. Donoho and J. Tanner. Sparse nonnegative solutions of undetermined linear equations by linear programming. Proc Natl Acad Sci, 102(27):9446-9451, 2005.
    • (2005) Proc Natl Acad Sci , vol.102 , Issue.27 , pp. 9446-9451
    • Donoho, D.1    Tanner, J.2
  • 94
    • 57349138185 scopus 로고    scopus 로고
    • Counting faces of randomly-projected polytopes when the projection radically lowers dimension
    • D. Donoho and J. Tanner. Counting faces of randomly-projected polytopes when the projection radically lowers dimension. J Am Math Soc, 22(1):1-53, 2009.
    • (2009) J am Math Soc , vol.22 , Issue.1 , pp. 1-53
    • Donoho, D.1    Tanner, J.2
  • 95
    • 77953126052 scopus 로고    scopus 로고
    • Precise undersampling theorems
    • D. Donoho and J. Tanner. Precise undersampling theorems. Proc IEEE, 98(6):913-924, 2010.
    • (2010) Proc IEEE , vol.98 , Issue.6 , pp. 913-924
    • Donoho, D.1    Tanner, J.2
  • 96
    • 55349134896 scopus 로고    scopus 로고
    • Fast solution of l1 norm minimization problems when the solution may be sparse
    • D. Donoho and Y. Tsaig. Fast solution of l1 norm minimization problems when the solution may be sparse. IEEE Trans Inform Theory, 54(11):4789-4812, 2008.
    • (2008) IEEE Trans Inform Theory , vol.54 , Issue.11 , pp. 4789-4812
    • Donoho, D.1    Tsaig, Y.2
  • 97
    • 34247887411 scopus 로고    scopus 로고
    • Sampling moments and reconstructing signals of finite rate of innovation: Shannon meets strang-fix
    • P. Dragotti, M. Vetterli, and T. Blu. Sampling moments and reconstructing signals of finite rate of innovation: Shannon meets Strang-Fix. IEEE Trans Sig Proc, 55(5):1741-1757, 2007.
    • (2007) IEEE Trans Sig Proc , vol.55 , Issue.5 , pp. 1741-1757
    • Dragotti, P.1    Vetterli, M.2    Blu, T.3
  • 99
    • 85032752277 scopus 로고    scopus 로고
    • Single-pixel imaging via compressive sampling
    • M. Duarte, M. Davenport, D. Takhar, et al. Single-pixel imaging via compressive sampling. IEEE Sig Proc Mag, 25(2):83-91, 2008.
    • (2008) IEEE Sig Proc Mag , vol.25 , Issue.2 , pp. 83-91
    • Duarte, M.1    Davenport, M.2    Takhar, D.3
  • 101
  • 102
    • 80051736221 scopus 로고    scopus 로고
    • Structured compressed sensing: Theory and applications
    • M. Duarte and Y. C. Eldar. Structured compressed sensing: Theory and applications. IEEE Trans Sig Proc, 59(9):4053-4085, 2011.
    • (2011) IEEE Trans Sig Proc , vol.59 , Issue.9 , pp. 4053-4085
    • Duarte, M.1    Eldar, Y.C.2
  • 105
    • 65649090845 scopus 로고    scopus 로고
    • Nonlinear and non-ideal sampling: Theory and methods
    • T. Dvorkind, Y. C. Eldar, and E. Matusiak. Nonlinear and non-ideal sampling: Theory and methods. IEEE Trans Sig Proc, 56(12):471-481, 2009.
    • (2009) IEEE Trans Sig Proc , vol.56 , Issue.12 , pp. 471-481
    • Dvorkind, T.1    Eldar, Y.C.2    Matusiak, E.3
  • 108
    • 70350712194 scopus 로고    scopus 로고
    • Rethinking biased estimation: Improving maximum likelihood and the cramer- rao bound found
    • Y. C. Eldar. Rethinking biased estimation: Improving maximum likelihood and the Cramer- Rao bound Found. Trends Sig Proc, 1(4):305-449, 2008.
    • (2008) Trends Sig Proc , vol.1 , Issue.4 , pp. 305-449
    • Eldar, Y.C.1
  • 109
    • 68249162101 scopus 로고    scopus 로고
    • Compressed sensing of analog signals in shift-invariant spaces
    • Y. C. Eldar. Compressed sensing of analog signals in shift-invariant spaces. IEEE Trans Sig Proc, 57(8):2986-2997, 2009.
    • (2009) IEEE Trans Sig Proc , vol.57 , Issue.8 , pp. 2986-2997
    • Eldar, Y.C.1
  • 110
    • 60549117145 scopus 로고    scopus 로고
    • Generalized sure for exponential families: Applications to regularization
    • Y. C. Eldar. Generalized SURE for exponential families: Applications to regularization. IEEE Trans Sig Proc, 57(2):471-481, 2009.
    • (2009) IEEE Trans Sig Proc , vol.57 , Issue.2 , pp. 471-481
    • Eldar, Y.C.1
  • 111
    • 77949747117 scopus 로고    scopus 로고
    • Uncertainty relations for shift-invariant analog signals
    • Y. C. Eldar. Uncertainty relations for shift-invariant analog signals. IEEE Trans Inform Theory, 55(12):5742-5757, 2009.
    • (2009) IEEE Trans Inform Theory , vol.55 , Issue.12 , pp. 5742-5757
    • Eldar, Y.C.1
  • 112
    • 77952576986 scopus 로고    scopus 로고
    • Block-sparse signals: Uncertainty relations and efficient recovery
    • Y. C. Eldar, P. Kuppinger, and H. Bolcskei. Block-sparse signals: Uncertainty relations and efficient recovery. IEEE Trans Sig Proc, 58(6):3042-3054, 2010.
    • (2010) IEEE Trans Sig Proc , vol.58 , Issue.6 , pp. 3042-3054
    • Eldar, Y.C.1    Kuppinger, P.2    Bolcskei, H.3
  • 113
    • 85032751311 scopus 로고    scopus 로고
    • Beyond bandlimited sampling
    • Y. C. Eldar and T. Michaeli. Beyond bandlimited sampling. IEEE Sig Proc Mag, 26(3): 48-68, 2009.
    • (2009) IEEE Sig Proc Mag , vol.26 , Issue.3 , pp. 48-68
    • Eldar, Y.C.1    Michaeli, T.2
  • 114
    • 70350743173 scopus 로고    scopus 로고
    • Robust recovery of signals from a structured union of subspaces
    • Y. C. Eldar and M. Mishali. Robust recovery of signals from a structured union of subspaces. IEEE Trans Inform Theory, 55(11):5302-5316, 2009.
    • (2009) IEEE Trans Inform Theory , vol.55 , Issue.11 , pp. 5302-5316
    • Eldar, Y.C.1    Mishali, M.2
  • 115
    • 73849109362 scopus 로고    scopus 로고
    • Average case analysis of multichannel sparse recovery using convex relaxation
    • Y. C. Eldar and H. Rauhut. Average case analysis of multichannel sparse recovery using convex relaxation. IEEE Trans Inform Theory, 6(1):505-519, 2010.
    • (2010) IEEE Trans Inform Theory , vol.6 , Issue.1 , pp. 505-519
    • Eldar, Y.C.1    Rauhut, H.2
  • 118
    • 0029746550 scopus 로고    scopus 로고
    • Spectrum-blind minimum-rate sampling and reconstruction of multiband signals
    • Atlanta, GA, Ma
    • P. Feng and Y. Bresler. Spectrum-blind minimum-rate sampling and reconstruction of multiband signals. Proc IEEE Int Conf Acoust, Speech, Sig Proc (ICASSP), Atlanta, GA, May 1996.
    • (1996) Proc IEEE Int Conf Acoust, Speech, Sig Proc (ICASSP)
    • Feng, P.1    Bresler, Y.2
  • 119
    • 0033149076 scopus 로고    scopus 로고
    • Reduced complexity decision feedback equalization for multipath channels with large delay spreads
    • I. Fevrier, S. Gelfand, and M. Fitz. Reduced complexity decision feedback equalization for multipath channels with large delay spreads. IEEE Trans Communi, 47(6):927-937, 1999.
    • (1999) IEEE Trans Communi , vol.47 , Issue.6 , pp. 927-937
    • Fevrier, I.1    Gelfand, S.2    Fitz, M.3
  • 120
    • 39449126969 scopus 로고    scopus 로고
    • Gradient projections for sparse reconstruction: Application to compressed sensing and other inverse problems
    • M. Figueiredo, R. Nowak, and S. Wright. Gradient projections for sparse reconstruction: Application to compressed sensing and other inverse problems. IEEE J Select Top Sig Proc, 1(4):586-597, 2007.
    • (2007) IEEE J Select Top Sig Proc , vol.1 , Issue.4 , pp. 586-597
    • Figueiredo, M.1    Nowak, R.2    Wright, S.3
  • 121
    • 36749019495 scopus 로고    scopus 로고
    • Recovery algorithms for vector valued data withjoint sparsity constraints
    • M. Fornassier and H. Rauhut. Recovery algorithms for vector valued data withjoint sparsity constraints. SIAM J Numer Anal, 46(2):577-613, 2008.
    • (2008) SIAM J Numer Anal , vol.46 , Issue.2 , pp. 577-613
    • Fornassier, M.1    Rauhut, H.2
  • 122
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • J. Friedman, T. Hastie, and R. Tibshirani. Regularization paths for generalized linear models via coordinate descent. J Stats Software, 33(1):1-22, 2010.
    • (2010) J Stats Software , vol.33 , Issue.1 , pp. 1-22
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 123
    • 0026898364 scopus 로고
    • Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation
    • N. Galatsanos and A. Katsaggelos. Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation. IEEE Trans Image Proc, 1(3):322-336, 1992.
    • (1992) IEEE Trans Image Proc , vol.1 , Issue.3 , pp. 322-336
    • Galatsanos, N.1    Katsaggelos, A.2
  • 124
    • 0000286901 scopus 로고
    • The widths of euclidean balls
    • A. Garnaev and E. Gluskin. The widths of Euclidean balls. Dokl An SSSR, 277:1048-1052, 1984.
    • (1984) Dokl an SSSR , vol.277 , pp. 1048-1052
    • Garnaev, A.1    Gluskin, E.2
  • 125
    • 77951180022 scopus 로고    scopus 로고
    • Time-delay estimation from low-rate samples: A union of subspaces approach
    • K. Gedalyahu and Y. C. Eldar. Time-delay estimation from low-rate samples: A union of subspaces approach. IEEE Trans Sig Proc, 58(6):3017-3031, 2010.
    • (2010) IEEE Trans Sig Proc , vol.58 , Issue.6 , pp. 3017-3031
    • Gedalyahu, K.1    Eldar, Y.C.2
  • 126
    • 79952686739 scopus 로고    scopus 로고
    • Multichannel sampling of pulse streams at the rate of innovation
    • K. Gedalyahu, R. Tur, and Y. C. Eldar. Multichannel sampling of pulse streams at the rate of innovation. IEEE Trans Sig Proc, 59(4):1491-1504, 2011.
    • (2011) IEEE Trans Sig Proc , vol.59 , Issue.4 , pp. 1491-1504
    • Gedalyahu, K.1    Tur, R.2    Eldar, Y.C.3
  • 127
    • 0001197443 scopus 로고
    • Uber die abgrenzung der eigenwerte einer matrix
    • S. Gersgorin. Uber die Abgrenzung der Eigenwerte einer Matrix. Izv. Akad Nauk SSSR Ser Fiz.-Mat, 6:749-754, 1931.
    • (1931) Izv. Akad Nauk SSSR Ser Fiz.-Mat , vol.6 , pp. 749-754
    • Gersgorin, S.1
  • 128
    • 77952733655 scopus 로고    scopus 로고
    • Sparse recovery using sparse matrices
    • A. Gilbert and P. Indyk. Sparse recovery using sparse matrices. Proc IEEE, 98(6):937-947, 2010.
    • (2010) Proc IEEE , vol.98 , Issue.6 , pp. 937-947
    • Gilbert, A.1    Indyk, P.2
  • 129
    • 77954693745 scopus 로고    scopus 로고
    • Approximate sparse recovery: Optimizing time and measurements
    • Cambridge, MA, Ju
    • A. Gilbert, Y. Li, E. Porat, and M. Strauss. Approximate sparse recovery: Optimizing time and measurements. Proc ACM Symp Theory Comput, Cambridge, MA, Jun. 2010.
    • (2010) Proc ACM Symp Theory Comput
    • Gilbert, A.1    Li, Y.2    Porat, E.3    Strauss, M.4
  • 131
    • 80053949919 scopus 로고    scopus 로고
    • Blind compressed sensing
    • To appear i
    • S. Gleichman and Y. C. Eldar. Blind compressed sensing. To appear in IEEE Trans Inform Theory, 57(10):6958-6975, 2011.
    • (2011) IEEE Trans Inform Theory , vol.57 , Issue.10 , pp. 6958-6975
    • Gleichman, S.1    Eldar, Y.C.2
  • 132
    • 84976668719 scopus 로고
    • Using collaborative filtering to weave an information tapestry
    • D. Goldberg, D. Nichols, B. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. Commun ACM, 35(12):61-70, 1992.
    • (1992) Commun ACM , vol.35 , Issue.12 , pp. 61-70
    • Goldberg, D.1    Nichols, D.2    Oki, B.3    Terry, D.4
  • 133
    • 32044449925 scopus 로고
    • Generalized cross-validation as a method for choosing a good ridge parameter
    • G. Golub and M. Heath. Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics, 21(2):215-223, 1970.
    • (1970) Technometrics , vol.21 , Issue.2 , pp. 215-223
    • Golub, G.1    Heath, M.2
  • 134
    • 0028805010 scopus 로고
    • Neuromagnetic source imaging with focuss: A recursive weighted minimum norm algorithm
    • I. Gorodnitsky, J. George, and B. Rao. Neuromagnetic source imaging with FOCUSS: A recursive weighted minimum norm algorithm. Electroen Clin Neuro, 95(4):231-251, 1995.
    • (1995) Electroen Clin Neuro , vol.95 , Issue.4 , pp. 231-251
    • Gorodnitsky, I.1    George, J.2    Rao, B.3
  • 135
    • 0031102203 scopus 로고    scopus 로고
    • Sparse signal reconstruction from limited data using focuss: A re-weighted minimum norm algorithm
    • I. Gorodnitsky and B. Rao. Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm. IEEE Trans Sig Proc, 45(3):600-616, 1997.
    • (1997) IEEE Trans Sig Proc , vol.45 , Issue.3 , pp. 600-616
    • Gorodnitsky, I.1    Rao, B.2
  • 136
    • 84890496755 scopus 로고
    • Source localization in magnetoencephalography using an iterative weighted minimum norm algorithm
    • Pacific Grove, CA, Oct
    • I. Gorodnitsky, B. Rao, and J. George. Source localization in magnetoencephalography using an iterative weighted minimum norm algorithm. Proc Asilomar Conf Sig, Syst and Comput, Pacific Grove, CA, Oct. 1992.
    • (1992) Proc Asilomar Conf Sig, Syst and Comput
    • Gorodnitsky, I.1    Rao, B.2    George, J.3
  • 137
    • 57349143370 scopus 로고    scopus 로고
    • Atoms of all channels, unite! average case analysis of multi-channel sparse recovery using greedy algorithms
    • R. Gribonval, H. Rauhut, K. Schnass, and P. Vandergheynst. Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms. J Fourier Anal Appl, 14(5):655-687, 2008.
    • (2008) J Fourier Anal Appl , vol.14 , Issue.5 , pp. 655-687
    • Gribonval, R.1    Rauhut, H.2    Schnass, K.3    Vandergheynst, P.4
  • 140
    • 77953695736 scopus 로고    scopus 로고
    • On the restricted isometry of deterministically subsampled fourier matrices
    • Princeton, N
    • J. Haupt, L. Applebaum, and R. Nowak. On the restricted isometry of deterministically subsampled Fourier matrices. Conf Inform Sci Syste (CISS), Princeton, NJ, 2010.
    • (2010) Conf Inform Sci Syste (CISS)
    • Haupt, J.1    Applebaum, L.2    Nowak, R.3
  • 141
  • 142
    • 77956563404 scopus 로고    scopus 로고
    • 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 Inform Theory, 56(11):5862-5875, 2010.
    • (2010) IEEE Trans Inform Theory , vol.56 , Issue.11 , pp. 5862-5875
    • Haupt, J.1    Bajwa, W.2    Raz, G.3    Nowak, R.4
  • 144
    • 33748575920 scopus 로고    scopus 로고
    • Signal reconstruction from noisy random projections
    • J. Haupt and R. Nowak. Signal reconstruction from noisy random projections. IEEE Trans Inform Theory, 52(9):4036-4048, 2006.
    • (2006) IEEE Trans Inform Theory , vol.52 , Issue.9 , pp. 4036-4048
    • Haupt, J.1    Nowak, R.2
  • 146
    • 73849099747 scopus 로고    scopus 로고
    • Available online a
    • D. Healy. Analog-to-information: BAA#05-35, 2005. Available online at http://www.darpa.mil/mto/solicitations/baa05-35/s/index.html.
    • (2005) Analog-To-Information: BAA#05-35
    • Healy, D.1
  • 147
    • 79951614166 scopus 로고    scopus 로고
    • Compressive sensing recovery of spike trains using a structured sparsity model
    • Saint-Malo, Franc
    • C. Hegde, M. Duarte, and V. Cevher. Compressive sensing recovery of spike trains using a structured sparsity model. Proc Work Struc Parc Rep Adap Signaux (SPARS), Saint-Malo, France, 2009.
    • (2009) Proc Work Struc Parc Rep Adap Signaux (SPARS)
    • Hegde, C.1    Duarte, M.2    Cevher, V.3
  • 148
    • 66849132093 scopus 로고    scopus 로고
    • High-resolution radar via compressed sensing
    • M. Herman and T. Strohmer. High-resolution radar via compressed sensing. IEEE Trans Sig Proc, 57(6):2275-2284, 2009.
    • (2009) IEEE Trans Sig Proc , vol.57 , Issue.6 , pp. 2275-2284
    • Herman, M.1    Strohmer, T.2
  • 149
    • 77949674991 scopus 로고    scopus 로고
    • General deviants: An analysis of perturbations in compressed sensing
    • M. Herman and T. Strohmer. General deviants: An analysis of perturbations in compressed sensing. IEEE J Select Top Sig Proc, 4(2):342-349, 2010.
    • (2010) IEEE J Select Top Sig Proc , vol.4 , Issue.2 , pp. 342-349
    • Herman, M.1    Strohmer, T.2
  • 150
    • 0030737323 scopus 로고    scopus 로고
    • Modelling the manifolds of images of handwritten digits
    • G. Hinton, P. Dayan, and M. Revow. Modelling the manifolds of images of handwritten digits. IEEE Trans Neural Networks, 8(1):65-74, 1997.
    • (1997) IEEE Trans Neural Networks , vol.8 , Issue.1 , pp. 65-74
    • Hinton, G.1    Dayan, P.2    Revow, M.3
  • 152
    • 57049125348 scopus 로고    scopus 로고
    • Explicit constructions for compressed sensing of sparse signals
    • San Franciso, C
    • P. Indyk. Explicit constructions for compressed sensing of sparse signals. Proc. ACM-SIAM Symp Discrete Algorithms (SODA), San Franciso, CA, 2008.
    • (2008) Proc. ACM-SIAM Symp Discrete Algorithms (SODA)
    • Indyk, P.1
  • 154
    • 69449105428 scopus 로고    scopus 로고
    • Efficient and robust compressed sensing using optimized expander graphs
    • S. Jafarpour, W. Xu, B. Hassibi, and R. Calderbank. Efficient and robust compressed sensing using optimized expander graphs. IEEE Trans Inform Theory, 55(9):4299-4308, 2009.
    • (2009) IEEE Trans Inform Theory , vol.55 , Issue.9 , pp. 4299-4308
    • Jafarpour, S.1    Xu, W.2    Hassibi, B.3    Calderbank, R.4
  • 155
    • 0001486499 scopus 로고
    • Estimation of quadratic loss
    • University of California Press, Berkele
    • W. James and C. Stein. Estimation of quadratic loss. In Proc 4th Berkeley Symp Math Statist Prob, 1: 361-379. University of California Press, Berkeley, 1961.
    • (1961) Proc 4Th Berkeley Symp Math Statist Prob , vol.1 , pp. 361-379
    • James, W.1    Stein, C.2
  • 156
    • 79955729456 scopus 로고    scopus 로고
    • Optimal bounds for johnson-lindenstrauss transforms and streaming problems with sub-constant error
    • San Francisco, C
    • T. Jayram and D. Woodruff. Optimal bounds for Johnson-Lindenstrauss transforms and streaming problems with sub-constant error. Proc ACM-SIAM Symp Discrete Algorithms (SODA), San Francisco, CA, 2011.
    • (2011) Proc ACM-SIAM Symp Discrete Algorithms (SODA)
    • Jayram, T.1    Woodruff, D.2
  • 157
    • 0031639913 scopus 로고    scopus 로고
    • Sparse inverse solution methods for signal and image processing applications
    • Seattle, W
    • B. Jeffs. Sparse inverse solution methods for signal and image processing applications. In Proc IEEE Int Conf Acoust, Speech Sig Proce (ICASSP), Seattle, WA, 1998.
    • (1998) Proc IEEE Int Conf Acoust, Speech Sig Proce (ICASSP)
    • Jeffs, B.1
  • 158
    • 0001654702 scopus 로고
    • Extensions of lipschitz mappings into a hilbert space
    • New Haven, C
    • W. Johnson and J. Lindenstrauss. Extensions of Lipschitz mappings into a Hilbert space. Proc Conf Modern Anal Prob, New Haven, CT, 1982.
    • (1982) Proc Conf Modern Anal Prob
    • Johnson, W.1    Lindenstrauss, J.2
  • 162
    • 0342623858 scopus 로고
    • On the carrying capacity of the ether and wire in telecommunications
    • Moscow, Russi
    • V. Kotelnikov. On the carrying capacity of the ether and wire in telecommunications. Izd Red Upr Svyazi RKKA, Moscow, Russia, 1933.
    • (1933) Izd Red Upr Svyazi RKKA
    • Kotelnikov, V.1
  • 163
    • 85032752112 scopus 로고    scopus 로고
    • Life beyond bases: The advent of frames (part i)
    • J. Kovačević and A. Chebira. Life beyond bases: The advent of frames (Part I). IEEE Sig Proc Mag, 24(4):86-104, 2007.
    • (2007) IEEE Sig Proc Mag , vol.24 , Issue.4 , pp. 86-104
    • Kovačević, J.1    Chebira, A.2
  • 164
    • 85032776149 scopus 로고    scopus 로고
    • Life beyond bases: The advent of frames (part ii)
    • J. Kovačević and A. Chebira. Life beyond bases: The advent of frames (Part II). IEEE Sig Proc Mag, 24(4):115-125, 2007.
    • (2007) IEEE Sig Proc Mag , vol.24 , Issue.4 , pp. 115-125
    • Kovačević, J.1    Chebira, A.2
  • 165
    • 79960436599 scopus 로고    scopus 로고
    • New and improved johnson-lindenstrauss embeddings via the restricted isometry property
    • F. Krahmer and R. Ward. New and improved Johnson-Lindenstrauss embeddings via the restricted isometry property. SIAM J Math Anal, 43(3):1269-1281, 2011.
    • (2011) SIAM J Math Anal , vol.43 , Issue.3 , pp. 1269-1281
    • Krahmer, F.1    Ward, R.2
  • 166
    • 0000677724 scopus 로고    scopus 로고
    • A lower estimate for entropy numbers
    • T. Kühn. A lower estimate for entropy numbers. J Approx Theory, 110(1):120-124, 2001.
    • (2001) J Approx Theory , vol.110 , Issue.1 , pp. 120-124
    • Kühn, T.1
  • 167
    • 30844432177 scopus 로고    scopus 로고
    • Signal reconstruction using sparse tree representation
    • San Diego, C
    • C. La and M. Do. Signal reconstruction using sparse tree representation. Proc SPIE Optics Photonics: Wavelets, San Diego, CA, 2005.
    • (2005) Proc SPIE Optics Photonics: Wavelets
    • La, C.1    Do, M.2
  • 168
    • 77950195109 scopus 로고    scopus 로고
    • Tree-based orthogonal matching pursuit algorithm for signal reconstruction
    • Atlanta, G
    • C. La and M. Do. Tree-based orthogonal matching pursuit algorithm for signal reconstruction. IEEE Int Conf Image Proc (ICIP), Atlanta, GA, 2006.
    • (2006) IEEE Int Conf Image Proc (ICIP)
    • La, C.1    Do, M.2
  • 169
    • 79960557614 scopus 로고    scopus 로고
    • Democracy in action: Quantization, saturation, and compressive sensing
    • J. Laska, P. Boufounos, M. Davenport, and R. Baraniuk. Democracy in action: Quantization, saturation, and compressive sensing. Appl Comput Harman Anal, 31(3):429-443, 2011.
    • (2011) Appl Comput Harman Anal , vol.31 , Issue.3 , pp. 429-443
    • Laska, J.1    Boufounos, P.2    Davenport, M.3    Baraniuk, R.4
  • 170
    • 77953854541 scopus 로고    scopus 로고
    • Exact signal recovery from corrupted measurements through the pursuit of justice
    • Pacific Grove, C
    • J. Laska, M. Davenport, and R. Baraniuk. Exact signal recovery from corrupted measurements through the pursuit of justice. Proc Asilomar Conf Sign, Syste Compute, Pacific Grove, CA, 2009.
    • (2009) Proc Asilomar Conf Sign, Syste Compute
    • Laska, J.1    Davenport, M.2    Baraniuk, R.3
  • 171
    • 0019390023 scopus 로고
    • Reconstruction of a sparse spike train from a portion of its spectrum and application to high-resolution deconvolution
    • S. Levy and P. Fullagar. Reconstruction of a sparse spike train from a portion of its spectrum and application to high-resolution deconvolution. Geophysics, 46(9):1235-1243, 1981.
    • (1981) Geophysics , vol.46 , Issue.9 , pp. 1235-1243
    • Levy, S.1    Fullagar, P.2
  • 172
    • 0000652415 scopus 로고
    • The geometry of graphs and some of its algorithmic applications
    • N. Linial, E. London, and Y. Rabinovich. The geometry of graphs and some of its algorithmic applications. Combinatorica, 15(2):215-245, 1995.
    • (1995) Combinatorica , vol.15 , Issue.2 , pp. 215-245
    • Linial, N.1    London, E.2    Rabinovich, Y.3
  • 175
    • 67650414322 scopus 로고    scopus 로고
    • On the performance of algorithms for the minimization of l1-penalized functions
    • I. Loris. On the performance of algorithms for the minimization of l1-penalized functions. Inverse Problems, 25(3):035008, 2009.
    • (2009) Inverse Problems , vol.25 , Issue.3
    • Loris, I.1
  • 176
    • 0038612055 scopus 로고    scopus 로고
    • PhD thesis, University of California, San Dieg
    • H. Lu. Geometric theory of images. PhD thesis, University of California, San Diego, 1998.
    • (1998) Geometric Theory of Images
    • Lu, H.1
  • 177
    • 85032750886 scopus 로고    scopus 로고
    • Sampling signals from a union of subspaces
    • Y. Lu and M. Do. Sampling signals from a union of subspaces. IEEE Sig Proce Mag, 25(2):41-47, 2008.
    • (2008) IEEE Sig Proce Mag , vol.25 , Issue.2 , pp. 41-47
    • Lu, Y.1    Do, M.2
  • 178
    • 41949130441 scopus 로고    scopus 로고
    • Rapid mr imaging with compressed sensing and randomly under-sampled 3dft trajectories
    • Seattle, W
    • M. Lustig, D. Donoho, and J. Pauly. Rapid MR imaging with compressed sensing and randomly under-sampled 3DFT trajectories. Proc Ann Meeting of ISMRM, Seattle, WA, 2006.
    • (2006) Proc Ann Meeting of ISMRM
    • Lustig, M.1    Donoho, D.2    Pauly, J.3
  • 179
    • 32544443428 scopus 로고    scopus 로고
    • Faster imaging with randomly perturbed, under-sampled spirals and l1 reconstruction
    • Miami, F
    • M. Lustig, J. Lee, D. Donoho, and J. Pauly. Faster imaging with randomly perturbed, under-sampled spirals and l1 reconstruction. Proc Ann Meeting ISMRM, Miami, FL, 2005.
    • (2005) Proc Ann Meeting ISMRM
    • Lustig, M.1    Lee, J.2    Donoho, D.3    Pauly, J.4
  • 181
    • 25444450079 scopus 로고    scopus 로고
    • A sparse signal reconstruction perspective for source localization with sensor arrays
    • D. Malioutov, M. Cetin, and A. Willsky. A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Trans Sign Proce, 53(8):3010-3022, 2005.
    • (2005) IEEE Trans Sign Proce , vol.53 , Issue.8 , pp. 3010-3022
    • Malioutov, D.1    Cetin, M.2    Willsky, A.3
  • 183
    • 0027842081 scopus 로고
    • Matching pursuits with time-frequency dictionaries
    • S. Mallat and Z. Zhang. Matching pursuits with time-frequency dictionaries. IEEE Trans Sig Proc, 41(12):3397-3415, 1993.
    • (1993) IEEE Trans Sig Proc , vol.41 , Issue.12 , pp. 3397-3415
    • Mallat, S.1    Zhang, Z.2
  • 185
    • 53149111169 scopus 로고    scopus 로고
    • Reduce and boost: Recovering arbitrary sets of jointly sparse vectors
    • M. Mishali and Y. C. Eldar. Reduce and boost: Recovering arbitrary sets of jointly sparse vectors. IEEE Trans Sig Proc, 56(10):4692-4702, 2008.
    • (2008) IEEE Trans Sig Proc , vol.56 , Issue.10 , pp. 4692-4702
    • Mishali, M.1    Eldar, Y.C.2
  • 186
    • 61549103040 scopus 로고    scopus 로고
    • Blind multi-band signal reconstruction: Compressed sensing for analog signals
    • M. Mishali and Y. C. Eldar. Blind multi-band signal reconstruction: Compressed sensing for analog signals. IEEE Trans Sig Proc, 57(3):993-1009, 2009.
    • (2009) IEEE Trans Sig Proc , vol.57 , Issue.3 , pp. 993-1009
    • Mishali, M.1    Eldar, Y.C.2
  • 187
    • 77949662812 scopus 로고    scopus 로고
    • From theory to practice: Sub-nyquist sampling of sparse wideband analog signals
    • M. Mishali and Y. C. Eldar. From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals. IEEE J Select Top Sig Proc, 4(2):375-391, 2010.
    • (2010) IEEE J Select Top Sig Proc , vol.4 , Issue.2 , pp. 375-391
    • Mishali, M.1    Eldar, Y.C.2
  • 190
    • 62749175137 scopus 로고    scopus 로고
    • 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(3):301-321, 2009.
    • (2009) Appl Comput Harmon Anal , vol.26 , Issue.3 , pp. 301-321
    • Needell, D.1    Tropp, J.2
  • 191
    • 64749092799 scopus 로고    scopus 로고
    • Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit
    • D. Needell and R. Vershynin. Uniform uncertainty principle and signal recovery via regularized orthogonal matching pursuit. Found Comput Math, 9(3):317-334, 2009.
    • (2009) Found Comput Math , vol.9 , Issue.3 , pp. 317-334
    • Needell, D.1    Vershynin, R.2
  • 192
    • 77949732443 scopus 로고    scopus 로고
    • Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit
    • D. Needell and R. Vershynin. Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit. IEEE J Select Top Sig Proc, 4(2):310-316, 2010.
    • (2010) IEEE J Select Top Sig Proc , vol.4 , Issue.2 , pp. 310-316
    • Needell, D.1    Vershynin, R.2
  • 195
    • 79957590676 scopus 로고
    • Certain topics in telegraph transmission theory
    • H. Nyquist. Certain topics in telegraph transmission theory. Trans AIEE, 47:617-644, 1928.
    • (1928) Trans AIEE , vol.47 , pp. 617-644
    • Nyquist, H.1
  • 196
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse representation
    • B. Olshausen and D. Field. Emergence of simple-cell receptive field properties by learning a sparse representation. Nature, 381:607-609, 1996.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.1    Field, D.2
  • 197
    • 77349126814 scopus 로고    scopus 로고
    • Fast linearized bregman iterations for compressive sensing and sparse denoising
    • S. Osher, Y. Mao, B. Dong, and W. Yin. Fast linearized Bregman iterations for compressive sensing and sparse denoising. Commun Math Sci, 8(1):93-111, 2010.
    • (2010) Commun Math Sci , vol.8 , Issue.1 , pp. 93-111
    • Osher, S.1    Mao, Y.2    Dong, B.3    Yin, W.4
  • 200
    • 0031150148 scopus 로고    scopus 로고
    • Meg-based imaging of focal neuronal current sources
    • J. Phillips, R. Leahy, and J. Mosher. MEG-based imaging of focal neuronal current sources. IEEE Trans Med Imaging, 16(3):338-348, 1997.
    • (1997) IEEE Trans Med Imaging , vol.16 , Issue.3 , pp. 338-348
    • Phillips, J.1    Leahy, R.2    Mosher, J.3
  • 201
    • 0001799628 scopus 로고
    • Essai experimental et analytique sur les lois de la dilatabilite des fluides elastiques et sur celles de la force expansive de la vapeur de l’eau et de la vapeur de l’alkool, a differentes temperatures
    • R. Prony is Gaspard Riche, baron de Pron
    • R. Prony. Essai experimental et analytique sur les lois de la Dilatabilite des fluides elastiques et sur celles de la Force expansive de la vapeur de l’eau et de la vapeur de l’alkool, a differentes temperatures. J de lʼEcole Polytechnique, Floreal et Prairial III, 1(2):24-76, 1795. R. Prony is Gaspard Riche, baron de Prony.
    • (1795) J De lʼEcole Polytechnique, Floreal Et Prairial III , vol.1 , Issue.2 , pp. 24-76
    • Prony, R.1
  • 203
    • 84856009825 scopus 로고    scopus 로고
    • A simpler approach to matrix completion
    • To appear i
    • B. Recht. A simpler approach to matrix completion. To appear in J. Machine Learning Rese, 12(12):3413-3430, 2011.
    • (2011) J. Machine Learning Rese , vol.12 , Issue.12 , pp. 3413-3430
    • Recht, B.1
  • 204
    • 78549288866 scopus 로고    scopus 로고
    • Guaranteed minimum rank solutions of matrix equations via nuclear norm minimization
    • B. Recht, M. Fazel, and P. Parrilo. Guaranteed minimum rank solutions of matrix equations via nuclear norm minimization. SIAM Rev, 52(3):471-501, 2010.
    • (2010) SIAM Rev , vol.52 , Issue.3 , pp. 471-501
    • Recht, B.1    Fazel, M.2    Parrilo, P.3
  • 206
    • 84907737173 scopus 로고    scopus 로고
    • Compressive sensing by random convolution
    • J. Romberg. Compressive sensing by random convolution. SIAM J Imag Sci, 2(4):1098-1128, 2009.
    • (2009) SIAM J Imag Sci , vol.2 , Issue.4 , pp. 1098-1128
    • Romberg, J.1
  • 207
    • 0038859499 scopus 로고    scopus 로고
    • In praise of the gram matrix
    • Springer, Berli
    • M. Rosenfeld. In praise of the Gram matrix, The Mathematics of Paul Erdos II, 318-323. Springer, Berlin, 1996.
    • (1996) The Mathematics of Paul Erdos II , pp. 318-323
    • Rosenfeld, M.1
  • 208
    • 36249017221 scopus 로고    scopus 로고
    • Average performance analysis for thresholding
    • K. Schnass and P. Vandergheynst. Average performance analysis for thresholding. IEEE Sig Proc Letters, 14(11):828-831, 2007.
    • (2007) IEEE Sig Proc Letters , vol.14 , Issue.11 , pp. 828-831
    • Schnass, K.1    Vandergheynst, P.2
  • 209
    • 84911837213 scopus 로고
    • Communication in the presence of noise
    • C. Shannon. Communication in the presence of noise. Proc Inst Radio Engineers, 37(1):10-21, 1949.
    • (1949) Proc Inst Radio Engineers , vol.37 , Issue.1 , pp. 10-21
    • Shannon, C.1
  • 210
    • 78049366216 scopus 로고    scopus 로고
    • Identification of rare alleles and their carriers using compressed se(Que)nsing
    • N. Shental, A. Amir, and O. Zuk. Identification of rare alleles and their carriers using compressed se(que)nsing. Nucl Acids Res, 38(19):e179, 2009.
    • (2009) Nucl Acids Res , vol.38 , Issue.19
    • Shental, N.1    Amir, A.2    Zuk, O.3
  • 212
    • 33846661142 scopus 로고    scopus 로고
    • Theory of semidefinite programming for sensor network localization
    • A. So and Y. Ye. Theory of semidefinite programming for sensor network localization. Math Programming, Series A B, 109(2):367-384, 2007.
    • (2007) Math Programming, Series a B , vol.109 , Issue.2 , pp. 367-384
    • So, A.1    Ye, Y.2
  • 213
    • 0000813561 scopus 로고
    • Inadmissibility of the usual estimator for the mean of a multivariate normal distribution
    • University of California Press, Berkele
    • C. Stein. Inadmissibility of the usual estimator for the mean of a multivariate normal distribution. Proc 3rd Berkeley Symp Math Statist Prob, 1: 197-206. University of California Press, Berkeley, 1956.
    • (1956) Proc 3Rd Berkeley Symp Math Statist Prob , vol.1 , pp. 197-206
    • Stein, C.1
  • 214
    • 0242323185 scopus 로고    scopus 로고
    • Grassmanian frames with applications to coding and communication
    • T. Strohmer and R. Heath. Grassmanian frames with applications to coding and communication. Appl Comput Harmon Anal, 14(3):257-275, 2003.
    • (2003) Appl Comput Harmon Anal , vol.14 , Issue.3 , pp. 257-275
    • Strohmer, T.1    Heath, R.2
  • 216
    • 0001770611 scopus 로고
    • Deconvolution with the l1 norm
    • H. Taylor, S. Banks, and J. McCoy. Deconvolution with the l1 norm. Geophysics, 44(1):39-52, 1979.
    • (1979) Geophysics , vol.44 , Issue.1 , pp. 39-52
    • Taylor, H.1    Banks, S.2    McCoy, J.3
  • 217
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. Tenenbaum, V. de Silva, and J. Landford. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.1    De Silva, V.2    Landford, J.3
  • 218
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • R. Tibshirani. Regression shrinkage and selection via the Lasso. J Roy Statist Soc B, 58(1):267-288, 1996.
    • (1996) J Roy Statist Soc B , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 220
    • 5444237123 scopus 로고    scopus 로고
    • Greed is good: Algorithmic results for sparse approximation
    • J. Tropp. Greed is good: Algorithmic results for sparse approximation. IEEE Trans Inform Theory, 50(10):2231-2242, 2004.
    • (2004) IEEE Trans Inform Theory , vol.50 , Issue.10 , pp. 2231-2242
    • Tropp, J.1
  • 221
    • 30844461481 scopus 로고    scopus 로고
    • Algorithms for simultaneous sparse approximation. Part ii: Convex relaxation
    • J. Tropp. Algorithms for simultaneous sparse approximation. Part II: Convex relaxation. Sig Proc, 86(3):589-602, 2006.
    • (2006) Sig Proc , vol.86 , Issue.3 , pp. 589-602
    • Tropp, J.1
  • 222
    • 64649083745 scopus 로고    scopus 로고
    • Signal recovery from partial information via orthogonal matching pursuit
    • J. Tropp and A. Gilbert. Signal recovery from partial information via orthogonal matching pursuit. IEEE Trans Inform. Theory, 53(12):4655-4666, 2007.
    • (2007) IEEE Trans Inform. Theory , vol.53 , Issue.12 , pp. 4655-4666
    • Tropp, J.1    Gilbert, A.2
  • 223
    • 30844445842 scopus 로고    scopus 로고
    • Algorithms for simultaneous sparse approximation. Part i: Greedy pursuit
    • J. Tropp, A. Gilbert, and M. Strauss. Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit. Sig Proc, 86(3):572-588, 2006.
    • (2006) Sig Proc , vol.86 , Issue.3 , pp. 572-588
    • Tropp, J.1    Gilbert, A.2    Strauss, M.3
  • 226
    • 77952743135 scopus 로고    scopus 로고
    • Computational methods for sparse solution of linear inverse problems
    • J. Tropp and S. Wright. Computational methods for sparse solution of linear inverse problems. Proc IEEE, 98(6):948-958, 2010.
    • (2010) Proc IEEE , vol.98 , Issue.6 , pp. 948-958
    • Tropp, J.1    Wright, S.2
  • 227
    • 58049195322 scopus 로고    scopus 로고
    • Highly undersampled magnetic resonance image reconstruction via homotopic fo-minimization
    • J. Trzasko and A. Manduca. Highly undersampled magnetic resonance image reconstruction via homotopic fo-minimization. IEEE Trans Med Imaging, 28(1):106-121, 2009.
    • (2009) IEEE Trans Med Imaging , vol.28 , Issue.1 , pp. 106-121
    • Trzasko, J.1    Manduca, A.2
  • 228
    • 79952658697 scopus 로고    scopus 로고
    • Innovation rate sampling of pulse streams with application to ultrasound imaging
    • R. Tur, Y. C. Eldar, and Z. Friedman. Innovation rate sampling of pulse streams with application to ultrasound imaging. IEEE Trans Sig Proc, 59(4):1827-1842, 2011.
    • (2011) IEEE Trans Sig Proc , vol.59 , Issue.4 , pp. 1827-1842
    • Tur, R.1    Eldar, Y.C.2    Friedman, Z.3
  • 229
    • 0026065565 scopus 로고
    • Eigenfaces for recognition
    • M. Turk and A. Pentland. Eigenfaces for recognition. J Cogni Neurosci, 3(1):71-86, 1991.
    • (1991) J Cogni Neurosci , vol.3 , Issue.1 , pp. 71-86
    • Turk, M.1    Pentland, A.2
  • 230
    • 0034171723 scopus 로고    scopus 로고
    • Sampling - 50 years after shannon
    • M. Unser. Sampling - 50 years after Shannon. Proc IEEE, 88(4):569-587, 2000.
    • (2000) Proc IEEE , vol.88 , Issue.4 , pp. 569-587
    • Unser, M.1
  • 231
    • 65649137930 scopus 로고    scopus 로고
    • Probing the pareto frontier for basis pursuit solutions
    • E. van den Berg and M. Friedlander. Probing the Pareto frontier for basis pursuit solutions. SIAM J Sci Comp, 31(2):890-912, 2008.
    • (2008) SIAM J Sci Comp , vol.31 , Issue.2 , pp. 890-912
    • Van Den Berg, E.1    Friedlander, M.2
  • 232
    • 77951546345 scopus 로고    scopus 로고
    • Theoretical and empirical results for recovery from multiple measurements
    • E. van den Berg and M. Friedlander. Theoretical and empirical results for recovery from multiple measurements. IEEE Trans Inform Theory, 56(5):2516-2527, 2010.
    • (2010) IEEE Trans Inform Theory , vol.56 , Issue.5 , pp. 2516-2527
    • Van Den Berg, E.1    Friedlander, M.2
  • 233
    • 84938496866 scopus 로고    scopus 로고
    • Riemannian optimization approach for computing low-rank solutions of lyapunov equations
    • Boston, M
    • B. Vandereycken and S. Vandewalle. Riemannian optimization approach for computing low-rank solutions of Lyapunov equations. Proc SIAM Conf Optimization, Boston, MA, 2008.
    • (2008) Proc SIAM Conf Optimization
    • Vandereycken, B.1    Vandewalle, S.2
  • 238
    • 0034270365 scopus 로고    scopus 로고
    • Perfect reconstruction formulas and bounds on aliasing error in sub-nyquist nonuniform sampling of multiband signals
    • R. Venkataramani and Y. Bresler. Perfect reconstruction formulas and bounds on aliasing error in sub-Nyquist nonuniform sampling of multiband signals. IEEE Trans Inform Theory, 46(6):2173-2183, 2000.
    • (2000) IEEE Trans Inform Theory , vol.46 , Issue.6 , pp. 2173-2183
    • Venkataramani, R.1    Bresler, Y.2
  • 239
    • 0036612082 scopus 로고    scopus 로고
    • Sampling signals with finite rate of innovation
    • M. Vetterli, P. Marziliano, and T. Blu. Sampling signals with finite rate of innovation. IEEE Trans Sig Proc, 50(6):1417-1428, 2002.
    • (2002) IEEE Trans Sig Proc , vol.50 , Issue.6 , pp. 1417-1428
    • Vetterli, M.1    Marziliano, P.2    Blu, T.3
  • 241
    • 0032632072 scopus 로고    scopus 로고
    • Analog-to-digital converter survey and analysis
    • R. Walden. Analog-to-digital converter survey and analysis. IEEE J Sel Areas Commun, 17(4):539-550, 1999.
    • (1999) IEEE J Sel Areas Commun , vol.17 , Issue.4 , pp. 539-550
    • Walden, R.1
  • 242
    • 0020969205 scopus 로고
    • Autoregressive recovery of the acoustic impedance
    • C. Walker and T. Ulrych. Autoregressive recovery of the acoustic impedance. Geophysics, 48(10):1338-1350, 1983.
    • (1983) Geophysics , vol.48 , Issue.10 , pp. 1338-1350
    • Walker, C.1    Ulrych, T.2
  • 243
    • 77949694214 scopus 로고    scopus 로고
    • Compressive sensing with cross validation
    • R. Ward. Compressive sensing with cross validation. IEEE Trans Inform Theory, 55(12):5773-5782, 2009.
    • (2009) IEEE Trans Inform Theory , vol.55 , Issue.12 , pp. 5773-5782
    • Ward, R.1
  • 244
    • 33744949513 scopus 로고    scopus 로고
    • Unsupervised learning of image manifolds by semidefinite programming
    • K. Weinberger and L. Saul. Unsupervised learning of image manifolds by semidefinite programming. Int J Computer Vision, 70(1):77-90, 2006.
    • (2006) Int J Computer Vision , vol.70 , Issue.1 , pp. 77-90
    • Weinberger, K.1    Saul, L.2
  • 245
    • 0016060859 scopus 로고
    • Lower bounds on the maximum cross correlation of signals
    • L. Welch. Lower bounds on the maximum cross correlation of signals. IEEE Trans Inform Theory, 20(3):397-399, 1974.
    • (1974) IEEE Trans Inform Theory , vol.20 , Issue.3 , pp. 397-399
    • Welch, L.1
  • 246
    • 77955666600 scopus 로고    scopus 로고
    • A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization and continuation
    • Z. Wen, W. Yin, D. Goldfarb, and Y. Zhang. A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization and continuation. SIAM J Sci Comput, 32(4):1832-1857, 2010.
    • (2010) SIAM J Sci Comput , vol.32 , Issue.4 , pp. 1832-1857
    • Wen, Z.1    Yin, W.2    Goldfarb, D.3    Zhang, Y.4
  • 247
    • 0001693842 scopus 로고
    • On the functions which are represented by the expansions of the interpolation theory
    • E. Whittaker. On the functions which are represented by the expansions of the interpolation theory. Proc Roy Soc Edin Sec A, 35:181-194, 1915.
    • (1915) Proc Roy Soc Edin Sec A , vol.35 , pp. 181-194
    • Whittaker, E.1
  • 248
    • 75849163827 scopus 로고    scopus 로고
    • Stability and instance optimality for gaussian measurements in compressed sensing
    • P. Wojtaszczyk. Stability and instance optimality for Gaussian measurements in compressed sensing. Found Comput Math, 10(1):1-13, 2010.
    • (2010) Found Comput Math , vol.10 , Issue.1 , pp. 1-13
    • Wojtaszczyk, P.1
  • 249
    • 67650178787 scopus 로고    scopus 로고
    • Sparse reconstruction by separable approximation
    • S. Wright, R. Nowak, and M. Figueiredo. Sparse reconstruction by separable approximation. IEEE Trans Sig Proc, 57(7):2479-2493, 2009.
    • (2009) IEEE Trans Sig Proc , vol.57 , Issue.7 , pp. 2479-2493
    • Wright, S.1    Nowak, R.2    Figueiredo, M.3
  • 250
    • 78651090983 scopus 로고    scopus 로고
    • Fast l1 -minimization algorithms and an application in robust face recognition: A review
    • Hong Kon
    • A. Yang, S. Sastray, A. Ganesh, and Y. Ma. Fast l1 -minimization algorithms and an application in robust face recognition: A review. Proc IEEE Int Conf Image Proc (ICIP), Hong Kong, 2010.
    • (2010) Proc IEEE Int Conf Image Proc (ICIP)
    • Yang, A.1    Sastray, S.2    Ganesh, A.3    Ma, Y.4
  • 251
    • 84977895355 scopus 로고    scopus 로고
    • Bregman iterative algorithms for l1- minimization with applications to compressed sensing
    • W. Yin, S. Osher, D. Goldfarb, and J. Darbon. Bregman iterative algorithms for l1- minimization with applications to compressed sensing. SIAM J Imag Sci, 1(1):143-168, 2008.
    • (2008) SIAM J Imag Sci , vol.1 , Issue.1 , pp. 143-168
    • Yin, W.1    Osher, S.2    Goldfarb, D.3    Darbon, J.4
  • 253
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • M. Yuan and Y. Lin. Model selection and estimation in regression with grouped variables. J Roy Stat Soc Ser B, 68(1):49-67, 2006.
    • (2006) J Roy Stat Soc Ser B , vol.68 , Issue.1 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 254
    • 80052353493 scopus 로고    scopus 로고
    • Sparse recovery with orthogonal matching pursuit under rip
    • T. Zhang. Sparse recovery with Orthogonal Matching Pursuit under RIP. IEEE Trans Inform Theory, 59(9):6125-6221, 2011.
    • (2011) IEEE Trans Inform Theory , vol.59 , Issue.9 , pp. 6125-6221
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.