메뉴 건너뛰기




Volumn 18, Issue 1-3, 1998, Pages 141-164

Neural net approach for blind separation of sources based on geometric properties

Author keywords

Applications of neural networks; Separation of sources

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; COMPUTATIONAL METHODS; LEARNING SYSTEMS; PARALLEL PROCESSING SYSTEMS; SENSORS; SIGNAL FILTERING AND PREDICTION; STATISTICAL METHODS;

EID: 0031951835     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(97)00076-3     Document Type: Article
Times cited : (47)

References (23)
  • 1
    • 33749754615 scopus 로고
    • A new learning algorithm for blind signal separation
    • D.Si. Touretzky, M.C. Mozer, M.E. Hasselmo (Eds.), MIT Press, Cambridge, MA
    • [1] S. Amari, A. Cichocki, H.H. Yang, A new learning algorithm for blind signal separation, in: D.Si. Touretzky, M.C. Mozer, M.E. Hasselmo (Eds.), Advances in Neural Information Processing Systems (1995), vol. 8, MIT Press, Cambridge, MA, 1996, pp. 757-763.
    • (1995) Advances in Neural Information Processing Systems , vol.8 , pp. 757-763
    • Amari, S.1    Cichocki, A.2    Yang, H.H.3
  • 2
    • 0029411030 scopus 로고
    • An information-maximisation approach to blind separation and blind deconvolution
    • [2] A.J. Bell, T.J. Sejnowski, An information-maximisation approach to blind separation and blind deconvolution, Neural Computat. 7 (1995) 1129-1159.
    • (1995) Neural Computat. , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 3
    • 0030417779 scopus 로고
    • Equivariant adaptive source separation
    • [3] J. Cardoso, B. Laheld, Equivariant adaptive source separation, IEEE Trans. Signal Process. 44 (1966) 3017-3030.
    • (1966) IEEE Trans. Signal Process. , vol.44 , pp. 3017-3030
    • Cardoso, J.1    Laheld, B.2
  • 4
    • 0030285433 scopus 로고    scopus 로고
    • Robust neural networks with on-line learning for blind identification and blind separation of sources
    • [4] A. Cichocki, R. Unbehauen, Robust neural networks with on-line learning for blind identification and blind separation of sources, IEEE Trans. Circuits Systems-I 43 (1996) 894-906.
    • (1996) IEEE Trans. Circuits Systems-I , vol.43 , pp. 894-906
    • Cichocki, A.1    Unbehauen, R.2
  • 5
    • 0028416938 scopus 로고
    • Independent component analysis, a new concept?
    • [5] P. Comon, Independent component analysis, a new concept?, Signal Processing 36 (3) (1994) 287-314.
    • (1994) Signal Processing , vol.36 , Issue.3 , pp. 287-314
    • Comon, P.1
  • 6
    • 0002308310 scopus 로고
    • Adaptive blind separation of independent sources: A deflation approach
    • [6] N. Delfosse, P. Loubatori, Adaptive blind separation of independent sources: a deflation approach, Signal Processing 45 (1995) 59-83.
    • (1995) Signal Processing , vol.45 , pp. 59-83
    • Delfosse, N.1    Loubatori, P.2
  • 7
    • 0000179296 scopus 로고
    • Source separation without a priori knowledge: The maximum likelihood solution
    • Barcelona, Spain
    • [7] M. Gaéta, J.-L. Lacoume, Source separation without a priori Knowledge: the maximum likelihood solution, Proc. EUSIPCO'90, Barcelona, Spain, 1990, pp. 621-624.
    • (1990) Proc. EUSIPCO'90 , pp. 621-624
    • Gaéta, M.1    Lacoume, J.-L.2
  • 10
    • 0029521611 scopus 로고
    • Nonlinear PCA type approaches for source separation and independent component analysis
    • Perth Australia, November
    • [10] J. Karhunen, L. Wang, R. Vigario, Nonlinear PCA type approaches for source separation and independent component analysis, in: Proc. 1995 IEEE Int. Conf. on Neural Networks, Perth Australia, November 1995, pp. 905-1000.
    • (1995) Proc. 1995 IEEE Int. Conf. on Neural Networks , pp. 905-1000
    • Karhunen, J.1    Wang, L.2    Vigario, R.3
  • 11
    • 0029359578 scopus 로고
    • Fourth-order criteria for blind sources separation
    • [11] A. Mansour, C. Jutten, Fourth-order criteria for blind sources separation, IEEE Trans, on Signal Process. 43 (8) (1995) 2022-2025.
    • (1995) IEEE Trans, on Signal Process. , vol.43 , Issue.8 , pp. 2022-2025
    • Mansour, A.1    Jutten, C.2
  • 12
    • 0029064164 scopus 로고
    • A neural net for blind separation of nonstationary signals
    • [12] K. Matsuoka, M. Ohya, M, Kawamoto, A neural net for blind separation of nonstationary signals, Neural Networks 8 (3) (1995) 411-119.
    • (1995) Neural Networks , vol.8 , Issue.3 , pp. 411-1119
    • Matsuoka, K.1    Ohya, M.2    Kawamoto, M.3
  • 15
    • 0029354468 scopus 로고
    • Blind source separation for convolutive mixtures
    • [15] H.L. Nguyen Thi, C. Jutten, Blind source separation for convolutive mixtures, Signal Processing 45 (1995) 209-229.
    • (1995) Signal Processing , vol.45 , pp. 209-229
    • Nguyen Thi, H.L.1    Jutten, C.2
  • 16
    • 0002049291 scopus 로고
    • Separation of mixtures in independent sources through a maximum likelihood approach
    • Brussels, Belgium, 24-27 August
    • [16] D.T. Pham, P. Garat, C. Jutten, Separation of mixtures in independent sources through a maximum likelihood approach, Proc. EUSIPCO-92, Brussels, Belgium, 24-27 August 1992, pp. 771-774.
    • (1992) Proc. EUSIPCO-92 , pp. 771-774
    • Pham, D.T.1    Garat, P.2    Jutten, C.3
  • 18
    • 0029389152 scopus 로고
    • Separation of sources: A geometry-based procedure for reconstruction of n-valued signals
    • [18] C.G. Puntonet, A. Prieto, C. Jutten, M. Rodriguez-Alvarez, J. Ortega, Separation of sources: a geometry-based procedure for reconstruction of n-valued signals, Signal Processing 46 (3) (1995) 267-284.
    • (1995) Signal Processing , vol.46 , Issue.3 , pp. 267-284
    • Puntonet, C.G.1    Prieto, A.2    Jutten, C.3    Rodriguez-Alvarez, M.4    Ortega, J.5
  • 19
    • 0010614594 scopus 로고
    • An adaptive geometrical procedure for blind separation of sources
    • [19] C.G. Puntonet, A. Prieto, An adaptive geometrical procedure for blind separation of sources, Neural Process. Lett 2 (5) (1995) 23-27.
    • (1995) Neural Process. Lett , vol.2 , Issue.5 , pp. 23-27
    • Puntonet, C.G.1    Prieto, A.2
  • 21
    • 0001969240 scopus 로고
    • Un algorithme géométrique pour la séparation de sources
    • Juan-Les-pins, France, 18-21 September
    • [21] C.G. Puntonet, A. Mansour, C. Jutten, Un algorithme géométrique pour la séparation de sources, 15th GRETSI. Juan-Les-pins, France, 18-21 September, 1995.
    • (1995) 15th GRETSI
    • Puntonet, C.G.1    Mansour, A.2    Jutten, C.3
  • 22
    • 0010615060 scopus 로고
    • Guide lines to VLSI design of neural nets
    • U. Ramacher, U. Rückert (Eds.), Kluwer Academic Publishers, Dordrecht
    • [22] U. Ramacher, Guide lines to VLSI design of Neural nets, in: U. Ramacher, U. Rückert (Eds.), VLSI Design of Neural Networks, Kluwer Academic Publishers, Dordrecht, 1991, pp. 1-17.
    • (1991) VLSI Design of Neural Networks , pp. 1-17
    • Ramacher, U.1
  • 23
    • 0001608026 scopus 로고
    • Feature discovery by competitive learning
    • D.E. Rumelhart, J.L, McClelland (Eds.), MIT Press, Cambridge, MA
    • [23] D.E. Rumethart, D. Zipser, Feature discovery by Competitive learning, in: D.E. Rumelhart, J.L, McClelland (Eds.), Parallell Distributed Processing, MIT Press, Cambridge, MA, 1986, pp. 151-193.
    • (1986) Parallell Distributed Processing , pp. 151-193
    • Rumethart, D.E.1    Zipser, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.