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Volumn 26, Issue 1, 2014, Pages 1-20

A unified SVM framework for signal estimation

Author keywords

Deconvolution; Digital processing; Filtering; Kernel method; Signal estimation; Spectral estimation; Support vector; System identification

Indexed keywords

ARRAY PROCESSING; DECONVOLUTION; FILTRATION; IDENTIFICATION (CONTROL SYSTEMS); LINEAR SYSTEMS; RELIGIOUS BUILDINGS; SIGNAL ANALYSIS; SPECTRUM ANALYSIS; SUPPORT VECTOR MACHINES;

EID: 84893953531     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2013.11.009     Document Type: Article
Times cited : (16)

References (74)
  • 3
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • A.J. Smola, and B. Schölkopf A tutorial on support vector regression Stat. Comput. 14 2004 199 222
    • (2004) Stat. Comput. , vol.14 , pp. 199-222
    • Smola, A.J.1    Schölkopf, B.2
  • 7
    • 0037972137 scopus 로고    scopus 로고
    • Shape statistics in kernel space for variational image segmentation
    • D. Cremers Shape statistics in kernel space for variational image segmentation Pattern Recognit. 36 2003 1929 1943
    • (2003) Pattern Recognit. , vol.36 , pp. 1929-1943
    • Cremers, D.1
  • 9
    • 0033704072 scopus 로고    scopus 로고
    • Decision feedback equaliser design using support vector machines
    • S. Chen, S. Gunn, and C.J. Harris Decision feedback equaliser design using support vector machines IEE Proc., Vis. Image Signal Process. 147 2000 213 219
    • (2000) IEE Proc., Vis. Image Signal Process. , vol.147 , pp. 213-219
    • Chen, S.1    Gunn, S.2    Harris, C.J.3
  • 10
    • 0035176414 scopus 로고    scopus 로고
    • Support vector machine multiuser receiver for DS-CDMA signals in multipath channels
    • S. Chen, A.K. Samingan, and L. Hanzo Support vector machine multiuser receiver for DS-CDMA signals in multipath channels IEEE Trans. Neural Netw. 12 2001 604 611
    • (2001) IEEE Trans. Neural Netw. , vol.12 , pp. 604-611
    • Chen, S.1    Samingan, A.K.2    Hanzo, L.3
  • 11
    • 0035176414 scopus 로고    scopus 로고
    • Adaptive multiuser receiver using a support vector machine technique
    • VTC 2001 Spring, Rhode, Greece (CD-ROM)
    • S. Chen, A.K. Sanmigan, and L. Hanzo Adaptive multiuser receiver using a support vector machine technique Proc. of the IEEE Semiannual Vehicular Tech. Conf. VTC 2001 Spring, Rhode, Greece 2001 604 608 (CD-ROM)
    • (2001) Proc. of the IEEE Semiannual Vehicular Tech. Conf. , pp. 604-608
    • Chen, S.1    Sanmigan, A.K.2    Hanzo, L.3
  • 12
    • 0037461890 scopus 로고    scopus 로고
    • Robust channel estimation in MIMO-OFDM systems
    • W. Bai, C. He, L.G. Jiang, and X.X. Li Robust channel estimation in MIMO-OFDM systems IEE Electron. Lett. 39 2003 242 244
    • (2003) IEE Electron. Lett. , vol.39 , pp. 242-244
    • Bai, W.1    He, C.2    Jiang, L.G.3    Li, X.X.4
  • 19
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • G. Baudat, and F. Anouar Generalized discriminant analysis using a kernel approach Neural Comput. 12 2000 2385 2404
    • (2000) Neural Comput. , vol.12 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 22
    • 0011812771 scopus 로고    scopus 로고
    • Kernel independent component analysis
    • F.R. Bach, and M.I. Jordan Kernel independent component analysis J. Mach. Learn. Res. 3 2002 1 48
    • (2002) J. Mach. Learn. Res. , vol.3 , pp. 1-48
    • Bach, F.R.1    Jordan, M.I.2
  • 24
    • 0031632516 scopus 로고    scopus 로고
    • Support vector machines for system identification
    • Swansea, UK
    • P. Drezet, and R. Harrison Support vector machines for system identification Proc. UKACC Int. Conf. Control98 Swansea, UK 1998 688 692
    • (1998) Proc. UKACC Int. Conf. Control98 , pp. 688-692
    • Drezet, P.1    Harrison, R.2
  • 26
    • 0005906715 scopus 로고    scopus 로고
    • Support vector machines: A nonlinear modelling and control perspective
    • (Special Issue on Fundamental Issues in Control)
    • J.A.K. Suykens Support vector machines: a nonlinear modelling and control perspective Eur. J. Control 7 2001 311 327 (Special Issue on Fundamental Issues in Control)
    • (2001) Eur. J. Control , vol.7 , pp. 311-327
    • Suykens, J.A.K.1
  • 27
    • 0035181296 scopus 로고    scopus 로고
    • Optimal control by least squares support vector machines
    • J.A.K. Suykens, J. Vandewalle, and B.D. Moor Optimal control by least squares support vector machines Neural Netw. 14 2001 23 35
    • (2001) Neural Netw. , vol.14 , pp. 23-35
    • Suykens, J.A.K.1    Vandewalle, J.2    Moor, B.D.3
  • 29
    • 27644524925 scopus 로고    scopus 로고
    • Subspace identification of Hammerstein systems using least squares support vector machines
    • I. Goethals, K. Pelckmans, J.A.K. Suykens, and B.D. Moor Subspace identification of Hammerstein systems using least squares support vector machines IEEE Trans. Autom. Control 50 2005 1509 1519
    • (2005) IEEE Trans. Autom. Control , vol.50 , pp. 1509-1519
    • Goethals, I.1    Pelckmans, K.2    Suykens, J.A.K.3    Moor, B.D.4
  • 30
    • 0000874557 scopus 로고
    • Theoretical foundations of the potential function method in pattern recognition learning
    • M.A. Aizerman, E.M. Braverman, and L. Rozoner Theoretical foundations of the potential function method in pattern recognition learning Autom. Remote Control 25 1964 821 837
    • (1964) Autom. Remote Control , vol.25 , pp. 821-837
    • Aizerman, M.A.1    Braverman, E.M.2    Rozoner, L.3
  • 42
    • 85032751590 scopus 로고    scopus 로고
    • Kernel multivariate analysis framework for supervised subspace learning: A tutorial on linear and kernel multivariate methods
    • J. Arenas-Garcia, K. Petersen, G. Camps-Valls, and L. Hansen Kernel multivariate analysis framework for supervised subspace learning: A tutorial on linear and kernel multivariate methods IEEE Signal Process. Mag. 30 2013 16 29
    • (2013) IEEE Signal Process. Mag. , vol.30 , pp. 16-29
    • Arenas-Garcia, J.1    Petersen, K.2    Camps-Valls, G.3    Hansen, L.4
  • 44
    • 85032752202 scopus 로고    scopus 로고
    • Kernel-based learning for statistical signal processing in cognitive radio networks: Theoretical foundations, example applications, and future directions
    • G. Ding, Q. Wu, Y.-D. Yao, J. Wang, and Y. Chen Kernel-based learning for statistical signal processing in cognitive radio networks: Theoretical foundations, example applications, and future directions IEEE Signal Process. Mag. 30 2013 126 136
    • (2013) IEEE Signal Process. Mag. , vol.30 , pp. 126-136
    • Ding, G.1    Wu, Q.2    Yao, Y.-D.3    Wang, J.4    Chen, Y.5
  • 45
    • 84893971200 scopus 로고    scopus 로고
    • Bayesian voting schemes and large margin classifiers
    • B. Schölkopf, C.J.C. Burges, A.J. Smola, MIT Press Cambridge, MA
    • N. Cristianini, and J. Shawe-Taylor Bayesian voting schemes and large margin classifiers B. Schölkopf, C.J.C. Burges, A.J. Smola, Advances in Kernel Methods - Support Vector Learning 1999 MIT Press Cambridge, MA 55 68
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 55-68
    • Cristianini, N.1    Shawe-Taylor, J.2
  • 48
    • 0035537546 scopus 로고    scopus 로고
    • Intelligence and cooperative search by coupled local minimizers
    • J. Suykens, J. Vandewalle, and B.D. Moor Intelligence and cooperative search by coupled local minimizers Int. J. Bifurc. Chaos 11 2001 2133 2144
    • (2001) Int. J. Bifurc. Chaos , vol.11 , pp. 2133-2144
    • Suykens, J.1    Vandewalle, J.2    Moor, B.D.3
  • 54
    • 33748319101 scopus 로고
    • Least-squares frequency analysis of unequally spaced data
    • N.R. Lomb Least-squares frequency analysis of unequally spaced data Astrophys. Space Sci. 39 1976 447 462
    • (1976) Astrophys. Space Sci. , vol.39 , pp. 447-462
    • Lomb, N.R.1
  • 57
    • 84928114166 scopus 로고
    • On nonuniform sampling of bandwidth-limited signals
    • J.L. Yen On nonuniform sampling of bandwidth-limited signals IRE Trans. Circuits Theory 3 1956 251 257
    • (1956) IRE Trans. Circuits Theory , vol.3 , pp. 251-257
    • Yen, J.L.1
  • 58
    • 0032099748 scopus 로고    scopus 로고
    • Analysis and design of minimax-optimal interpolators
    • H. Choi, and D.C. Munson Jr. Analysis and design of minimax-optimal interpolators IEEE Trans. Signal Process. 46 1998 1571 1579
    • (1998) IEEE Trans. Signal Process. , vol.46 , pp. 1571-1579
    • Choi, H.1    Munson, Jr.D.C.2
  • 61
    • 0022034007 scopus 로고
    • Robust techniques for signal processing: A survey
    • S.A. Kassam, and H.V. Poor Robust techniques for signal processing: A survey Proc. IEEE 73 1985 433 482
    • (1985) Proc. IEEE , vol.73 , pp. 433-482
    • Kassam, S.A.1    Poor, H.V.2
  • 66
    • 27644586449 scopus 로고    scopus 로고
    • Kernel based partially linear models and nonlinear identification
    • M. Espinoza, J.A.K. Suykens, and B.D. Moor Kernel based partially linear models and nonlinear identification IEEE Trans. Autom. Control 50 2005 1602 1606
    • (2005) IEEE Trans. Autom. Control , vol.50 , pp. 1602-1606
    • Espinoza, M.1    Suykens, J.A.K.2    Moor, B.D.3
  • 71
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K.R. Müller Nonlinear component analysis as a kernel eigenvalue problem Neural Comput. 10 1998 1299 1319
    • (1998) Neural Comput. , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.R.3
  • 72
    • 1642585822 scopus 로고    scopus 로고
    • Semi-sparse deconvolution robust to uncertainties in the impulse responses
    • T. Olofsson Semi-sparse deconvolution robust to uncertainties in the impulse responses Ultrasonics 42 2004 969 975
    • (2004) Ultrasonics , vol.42 , pp. 969-975
    • Olofsson, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.