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Volumn 20, Issue 5, 2008, Pages 1344-1365

Sequential fixed-point ICA based on mutual information minimization

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ELECTROCARDIOGRAPHY; FEMALE; FETUS MONITORING; HUMAN; METHODOLOGY; PREGNANCY; SIGNAL PROCESSING; THEORETICAL MODEL;

EID: 43449083521     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2008.09-06-335     Document Type: Article
Times cited : (8)

References (32)
  • 1
    • 33749754615 scopus 로고    scopus 로고
    • A new learning algorithm for blind signal separation
    • D. S. Touretzky, M. Mozer, & M. Hasselmo Eds, Cambridge, MA: MIT Press
    • Amari, S.-I., Cichocki, A., & Yang, H. (1996). A new learning algorithm for blind signal separation. In D. S. Touretzky, M. Mozer, & M. Hasselmo (Eds.), Advances in neural processing systems, 8 (pp. 757-763). Cambridge, MA: MIT Press.
    • (1996) Advances in neural processing systems , vol.8 , pp. 757-763
    • Amari, S.-I.1    Cichocki, A.2    Yang, H.3
  • 2
    • 0000739010 scopus 로고
    • Hyperbolic distributions and distributions on hyperbolae
    • Barndorff-Nielsen, O. E. (1978). Hyperbolic distributions and distributions on hyperbolae. Scandinavian Journal of Statistics, 5, 151-157.
    • (1978) Scandinavian Journal of Statistics , vol.5 , pp. 151-157
    • Barndorff-Nielsen, O.E.1
  • 4
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Bell, A. J., & Sejnowski, T. J. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural Computat., 7, 1129-1159.
    • (1995) Neural Computat , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 6
    • 84902151121 scopus 로고    scopus 로고
    • An improved cumulant based method for independent component analysis
    • Berlin: Springer
    • Blaschke, T., & Wiskott, L. (2002). An improved cumulant based method for independent component analysis. In Proc. Int. Conf. on Artificial Neural Networks (ICANN'02) (pp. 1087-1093). Berlin: Springer.
    • (2002) Proc. Int. Conf. on Artificial Neural Networks (ICANN'02) , pp. 1087-1093
    • Blaschke, T.1    Wiskott, L.2
  • 7
    • 0031122399 scopus 로고    scopus 로고
    • Infomax and maximum likelihood for source separation
    • Cardoso, J.-F. (1997). Infomax and maximum likelihood for source separation. IEEE Letters on Signal Processing, 44, 112-114.
    • (1997) IEEE Letters on Signal Processing , vol.44 , pp. 112-114
    • Cardoso, J.-F.1
  • 8
    • 0032612381 scopus 로고    scopus 로고
    • High-order contrasts for independent component analysis
    • Cardoso, J.-F. (1999). High-order contrasts for independent component analysis. Neural Computation, 11, 157-192.
    • (1999) Neural Computation , vol.11 , pp. 157-192
    • Cardoso, J.-F.1
  • 9
    • 0027812550 scopus 로고
    • Blind beamforming for non Gaussian signals
    • Cardoso, J.-F., & Souloumiac, A. (1993). Blind beamforming for non Gaussian signals. IEEE Proceedings-F, 140, 362-370.
    • (1993) IEEE Proceedings-F , vol.140 , pp. 362-370
    • Cardoso, J.-F.1    Souloumiac, A.2
  • 10
    • 0028416938 scopus 로고
    • Independent component analysis - a new concept?
    • Comon, P. (1994). Independent component analysis - a new concept? Signal Process., 36(3), 287-314.
    • (1994) Signal Process , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 11
    • 0034108045 scopus 로고    scopus 로고
    • Fetal electrocardiogram extraction by blind source subspace separation
    • De Lathauwer, L., De Moor, B., & Vandewalle, J. (2000). Fetal electrocardiogram extraction by blind source subspace separation. IEEE Trans. Biomedical Engineering, 47(5), 567-572.
    • (2000) IEEE Trans. Biomedical Engineering , vol.47 , Issue.5 , pp. 567-572
    • De Lathauwer, L.1    De Moor, B.2    Vandewalle, J.3
  • 14
    • 84898934694 scopus 로고    scopus 로고
    • Independent components analysis through product density estimation
    • S. Becker, S. Thrün, & K. Obermayer Eds, Cambridge, MA: MIT Press
    • Hastie, T., & Tibshirani, R. (2003). Independent components analysis through product density estimation. In S. Becker, S. Thrün, & K. Obermayer (Eds.), Advances in neural processing systems, 15 (pp. 649-656). Cambridge, MA: MIT Press.
    • (2003) Advances in neural processing systems , vol.15 , pp. 649-656
    • Hastie, T.1    Tibshirani, R.2
  • 16
    • 33845435132 scopus 로고    scopus 로고
    • New approximations of differential entropy for independent component analysis and projection pursuit
    • M. Jordan, M. Kearns, & S. Solla Eds, Cambridge, MA: MIT Press
    • Hyvärinen, A. (1998). New approximations of differential entropy for independent component analysis and projection pursuit. In M. Jordan, M. Kearns, & S. Solla (Eds.), Advances in neural processing systems, 10 (pp. 273-279). Cambridge, MA: MIT Press.
    • (1998) Advances in neural processing systems , vol.10 , pp. 273-279
    • Hyvärinen, A.1
  • 17
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithms for independent component analysis
    • Hyvärinen, A. (1999). Fast and robust fixed-point algorithms for independent component analysis. IEEE TNN, 10(3), 626-634.
    • (1999) IEEE TNN , vol.10 , Issue.3 , pp. 626-634
    • Hyvärinen, A.1
  • 19
    • 0042819875 scopus 로고    scopus 로고
    • Temporally constrained ICA: An application to artifact rejection in electromagnetic brain signal analysis
    • James, C. J., & Gibson, O. J. (2003). Temporally constrained ICA: An application to artifact rejection in electromagnetic brain signal analysis. IEEE Trans. Biomed. Eng., 50(9), 1108-1116.
    • (2003) IEEE Trans. Biomed. Eng , vol.50 , Issue.9 , pp. 1108-1116
    • James, C.J.1    Gibson, O.J.2
  • 23
    • 0033556834 scopus 로고    scopus 로고
    • Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources
    • Lee, T.-W., Girolami, M., & Sejnowski, T. J. (1999). Independent component analysis using an extended infomax algorithm for mixed sub-gaussian and super-gaussian sources. Neural Computation, 22(2), 417-441.
    • (1999) Neural Computation , vol.22 , Issue.2 , pp. 417-441
    • Lee, T.-W.1    Girolami, M.2    Sejnowski, T.J.3
  • 29
    • 0041877169 scopus 로고    scopus 로고
    • Estimation of entropy and mutual information
    • Paninski, L. (2003). Estimation of entropy and mutual information. Neural Computation, 15, 1191-1253.
    • (2003) Neural Computation , vol.15 , pp. 1191-1253
    • Paninski, L.1
  • 30
    • 0002049291 scopus 로고
    • Separation of a mixture of independent sources through a maximum likelihood approach
    • J. Vandewalle, R. Boite, M. Moonen, & A. Oosterlinck Eds, Amsterdam: Elsevier
    • Pham, D.-T., Garrat, P., & Jutten, C. (1992). Separation of a mixture of independent sources through a maximum likelihood approach. In J. Vandewalle, R. Boite, M. Moonen, & A. Oosterlinck (Eds.), Signal processing VI: theories and applications (pp. 771-774). Amsterdam: Elsevier.
    • (1992) Signal processing VI: Theories and applications , pp. 771-774
    • Pham, D.-T.1    Garrat, P.2    Jutten, C.3
  • 32
    • 0000056917 scopus 로고    scopus 로고
    • Adaptive online learning algorithms for blind separation: Maximum entropy and mutual information
    • Yang, H., & Amari, S.-I. (1997). Adaptive online learning algorithms for blind separation: Maximum entropy and mutual information. Neural Computat., 9, 1457-1482.
    • (1997) Neural Computat , vol.9 , pp. 1457-1482
    • Yang, H.1    Amari, S.-I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.