메뉴 건너뛰기




Volumn 26, Issue 11, 2010, Pages

Sparse channel separation using random probes

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL EQUALIZATION; CHANNEL RESPONSE; CODED APERTURES; COMPRESSIVE SENSING; FIELD OF VIEWS; FORWARD MODELING; HIGH PROBABILITY; LINEAR INVERSE PROBLEMS; LINEAR SYSTEM OF EQUATIONS; LOWER BOUNDS; MATHEMATICAL TOOLS; MULTIPLE INPUTS; MULTIPLE SOURCE; PROBE SIGNALS; RANDOM PROBES; SEISMIC IMAGING; SINGLE SOURCE; SOURCE SIGNALS; SPARSE CHANNELS; SPARSE SOLUTIONS; SYSTEM OF EQUATIONS;

EID: 78049425087     PISSN: 02665611     EISSN: 13616420     Source Type: Journal    
DOI: 10.1088/0266-5611/26/11/115015     Document Type: Article
Times cited : (26)

References (40)
  • 1
    • 55649115527 scopus 로고    scopus 로고
    • A simple proof of the restricted isometry property for random matrices
    • Baraniuk R G, Davenport M, De Vore R and Wakin M 2008 A simple proof of the restricted isometry property for random matrices Constructive Approx. 28 253-63
    • (2008) Constructive Approx. , vol.28 , pp. 253-263
    • Baraniuk, R.G.1    Davenport, M.2    De Vore, R.3    Wakin, M.4
  • 3
    • 69949164527 scopus 로고    scopus 로고
    • Iterative hard thresholding for compressed sensing
    • Blumensath T and Davies M 2008 Iterative hard thresholding for compressed sensing Appl. Comput. Harmon. Anal. 27 265-74
    • (2008) Appl. Comput. Harmon. Anal. , vol.27 , pp. 265-274
    • Blumensath, T.1    Davies, M.2
  • 4
    • 42649140570 scopus 로고    scopus 로고
    • The restricted isometry property and its implications for compressed sensing
    • Candes E 2008 The restricted isometry property and its implications for compressed sensing C. R. Acad. Sci. Paris, Ser. I 346 589-92
    • (2008) C. R. Acad. Sci. Paris, Ser. I , vol.346 , pp. 589-592
    • Candes, E.1
  • 5
    • 33744726904 scopus 로고    scopus 로고
    • Quantitative robust uncertainty principles and optimally sparse decompositions
    • Candès E and Romberg J 2006 Quantitative robust uncertainty principles and optimally sparse decompositions Found. Comput. Math. 6 227-54
    • (2006) Found. Comput. Math. , vol.6 , pp. 227-254
    • Candès, E.1    Romberg, J.2
  • 6
    • 33745604236 scopus 로고    scopus 로고
    • Stable signal recovery from incomplete and inaccurate measurements
    • Candès E, Romberg J and Tao T 2006 Stable signal recovery from incomplete and inaccurate measurements Commun. Pure. Appl. Math. 59 1207-23
    • (2006) Commun. Pure. Appl. Math. , vol.59 , pp. 1207-1223
    • Candès, E.1    Romberg, J.2    Tao, T.3
  • 7
    • 33947416035 scopus 로고    scopus 로고
    • Near-optimal signal recovery from random projections: Universal encoding strategies?
    • Candès E and Tao T 2006 Near-optimal signal recovery from random projections: universal encoding strategies? IEEE Trans. Inform. Theory 52 5406-245
    • (2006) IEEE Trans. Inform. Theory , vol.52 , pp. 5406-6245
    • Candès, E.1    Tao, T.2
  • 8
    • 34548275795 scopus 로고    scopus 로고
    • The Dantzig selector: Statistical estimation When p is much smaller than
    • Candès E and Tao T 2007 The Dantzig selector: statistical estimation When p is much smaller than n Ann. Star. 35 2313-51
    • (2007) N Ann. Star. , vol.35 , pp. 2313-2351
    • Candès, E.1    Tao, T.2
  • 9
    • 0025462761 scopus 로고
    • Performance limitations in underwater acoustic telemetry
    • Catipovic J 1990 Performance limitations in underwater acoustic telemetry IEEE J. Ocean Eng. 15 205-16
    • (1990) IEEE J. Ocean Eng. , vol.15 , pp. 205-216
    • Catipovic, J.1
  • 10
    • 0036493737 scopus 로고    scopus 로고
    • Sparse channel estimation via matching pursuit with application to equalization
    • Cotter S F and Rao B D 2002 Sparse channel estimation via matching pursuit with application to equalization IEEE Trans. Commun. 50 374-7
    • (2002) IEEE Trans. Commun. , vol.50 , pp. 374-377
    • Cotter, S.F.1    Rao, B.D.2
  • 13
    • 0035504028 scopus 로고    scopus 로고
    • Uncertainty principles and ideal atomic decomposition
    • Donoho D L and Huo X 2001 Uncertainty principles and ideal atomic decomposition IEEE Trans. Inform. Theory 47 2845-62
    • (2001) IEEE Trans. Inform. Theory , vol.47 , pp. 2845-2862
    • Donoho, D.L.1    Huo, X.2
  • 14
    • 39449126969 scopus 로고    scopus 로고
    • Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
    • Figueiredo MAT, Nowak R D and Wright S J 2007 Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems IEEE J. Sel, Top. Signal Process. 1 586-97
    • (2007) IEEE J. Sel, Top. Signal Process. , vol.1 , pp. 586-597
    • Figueiredo, M.A.T.1    Nowak, R.D.2    Wright, S.J.3
  • 15
    • 0032735183 scopus 로고    scopus 로고
    • Multipath time-delay detection and estimation
    • Fuchs J J 1999 Multipath time-delay detection and estimation IEEE Trans. Signal Process. 47 237-43
    • (1999) IEEE Trans. Signal Process. , vol.47 , pp. 237-243
    • Fuchs, J.J.1
  • 16
    • 84975577929 scopus 로고
    • New family of binary arrays for coded aperture imaging
    • Gottesman S R and Fenimore E E 1989 New family of binary arrays for coded aperture imaging Appl. Opt. 28 4344-52
    • (1989) Appl. Opt. , vol.28 , pp. 4344-4352
    • Gottesman, S.R.1    Fenimore, E.E.2
  • 18
    • 69649095451 scopus 로고    scopus 로고
    • Fixed-point continuation for i \minimization: Methodology and convergence
    • Hale E, Yin W and Zhang Y 2008 Fixed-point continuation for i \minimization : methodology and convergence SIAM J. Optim. 19 1107-30
    • (2008) SIAM J. Optim. , vol.19 , pp. 1107-1130
    • Hale, E.1    Yin, W.2    Zhang, Y.3
  • 19
    • 77956563404 scopus 로고    scopus 로고
    • And Nowak R 2010 Toeplitz compressed sensing matrices with applications to sparse channel estimation
    • to appear
    • Haupt J, Bajwa W, Raz G and Nowak R 2010 Toeplitz compressed sensing matrices with applications to sparse channel estimation IEEE Trans. Inform. Theory to appear
    • IEEE Trans. Inform. Theory
    • Haupt, J.1    Bajwa, W.2    Raz, G.3
  • 20
  • 21
    • 67650327365 scopus 로고    scopus 로고
    • Compressive simultaneous full-waveform simulation
    • Herrmann F, Erlangga Y A and Lin T Y 2009 Compressive simultaneous full-waveform simulation Geophysics 74 A35
    • (2009) Geophysics , vol.74
    • Herrmann, F.1    Erlangga, Y.A.2    Lin, T.Y.3
  • 22
    • 41249096991 scopus 로고    scopus 로고
    • Non-parametric seismic data recovery with, curvelet frames
    • Herrmann F J and Hennenfent G 2008 Non-parametric seismic data recovery with, curvelet frames Geophys. J. Int. 173 233-248
    • (2008) Geophys. J. Int. , vol.173 , pp. 233-248
    • Herrmann, F.J.1    Hennenfent, G.2
  • 27
    • 62749175137 scopus 로고    scopus 로고
    • COSAMP: Iterative signal recovery from incomplete and inaccurate measurements
    • Needell D and Tropp J 2009 COSAMP: iterative signal recovery from incomplete and inaccurate measurements Appl, Comput. Harmon, Anal. 26 301-21
    • (2009) Appl, Comput. Harmon, Anal. , vol.26 , pp. 301-321
    • Needell, D.1    Tropp, J.2
  • 29
    • 84863115252 scopus 로고    scopus 로고
    • Efficient seismic forward modeling using simultaneous random sources and sparsity
    • to appear
    • Neelamani R, Krohn C E, Krebs J R, Romberg J, Deffenbaugh M and Anderson J E 2010 Efficient seismic forward modeling using simultaneous random sources and sparsity Geophysics to appear
    • (2010) Geophysics
    • Neelamani, R.1    Krohn, C.E.2    Krebs, J.R.3    Romberg, J.4    Anderson J E, D.M.5
  • 30
    • 70449475885 scopus 로고    scopus 로고
    • Circulant and Toeplitz matrices in compressed sensing
    • Saint Malo, France, 2009 ed R Gribonval (Inria RennesBretagne Atlantique)
    • Rauhut H 2009 Circulant and Toeplitz matrices in compressed sensing SPARS'09: Signal Processing with Adaptive Sparse Structured Representations (Saint Malo, France, 2009) ed R Gribonval (Inria RennesBretagne Atlantique)
    • (2009) SPARS'09: Signal Processing with Adaptive Sparse Structured Representations
    • Rauhut, H.1
  • 31
    • 84907737173 scopus 로고    scopus 로고
    • Compressive sensing by random convolution
    • Romberg J 2009 Compressive sensing by random convolution SIAM J. Imaging Sci. 2 1098-128
    • (2009) SIAM J. Imaging Sci. , vol.2 , pp. 1098-1128
    • Romberg, J.1
  • 32
    • 70449486137 scopus 로고    scopus 로고
    • Multiple channel estimation using spectrally random, probes
    • Romberg J 2009 Multiple channel estimation using spectrally random, probes Proc. SPIE Conf. Wavelets XIII 7446 744606-1
    • (2009) Proc. SPIE Conf. Wavelets XIII , vol.7446 , pp. 744606-744611
    • Romberg, J.1
  • 33
    • 52349092455 scopus 로고    scopus 로고
    • On sparse reconstruction from Fourier and Gaussian measurements
    • Rudelson M and Vershynin R 2008 On sparse reconstruction from Fourier and Gaussian measurements Commun. Pure Appl. Math. 61 1025-45
    • (2008) Commun. Pure Appl. Math. , vol.61 , pp. 1025-1045
    • Rudelson, M.1    Vershynin, R.2
  • 34
    • 0008988926 scopus 로고
    • Linear inversion, of band-limited reflection seismograms
    • Santosa Fadil and Symes W W 1986 Linear inversion, of band-limited reflection seismograms SIAM J. Sci. Stat. Comput. 7 1307-30
    • (1986) SIAM J. Sci. Stat. Comput. , vol.7 , pp. 1307-1330
    • Fadil, S.1    Symes, W.W.2
  • 35
    • 0000058911 scopus 로고
    • Regularisation of nonlinear inverse problems: Imaging the near-surface weathering layer
    • Scales J A, Docherty P and Gersztenkorn A 1990 Regularisation of nonlinear inverse problems: imaging the near-surface weathering layer Inverse Problems 6 115-31
    • (1990) Inverse Problems , vol.6 , pp. 115-131
    • Scales, J.A.1    Docherty, P.2    Gersztenkorn, A.3
  • 37
    • 44249104733 scopus 로고    scopus 로고
    • On the conditioning of random subdictionaries
    • Tropp J A 2008 On the conditioning of random subdictionaries Appl. Comput. Harmon. Anal. 25 1-24
    • (2008) Appl. Comput. Harmon. Anal. , vol.25 , pp. 1-24
    • Tropp, J.A.1
  • 40
    • 84977895355 scopus 로고    scopus 로고
    • Bregman iterative algorithms for compressed sensing and related problems
    • Yin W, Osher S, Darbon J and Goldfarb D 2008 Bregman iterative algorithms for compressed sensing and related problems SIAM J. Imaging Sci. 1 143-68
    • (2008) SIAM J. Imaging Sci. , vol.1 , pp. 143-168
    • Yin, W.1    Osher, S.2    Darbon, J.3    Goldfarb, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.