메뉴 건너뛰기




Volumn 22, Issue 1-3, 1998, Pages 113-129

Robust techniques for independent component analysis (ICA) with noisy data

Author keywords

Bias removal; Blind source separation; Independent component analysis (ICA); Maximum likelihood; Natural gradient; Noise cancellation

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; SIGNAL THEORY; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

EID: 0032212795     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(98)00052-6     Document Type: Article
Times cited : (61)

References (31)
  • 2
    • 33749754615 scopus 로고    scopus 로고
    • A new learning algorithm for blind signal separation
    • in: D.S. Touretzky, M.C. Mozer, M.E. Hasselmo (Eds.) MIT Press, Cambridge, MA
    • S. Amari, A. Cichocki, H.H. Yang, A new learning algorithm for blind signal separation, in: D.S. Touretzky, M.C. Mozer, M.E. Hasselmo (Eds.), Advances in Neural Information Processing Systems, MIT Press, Cambridge, MA, 1996, pp. 757-763.
    • (1996) Advances in Neural Information Processing Systems , pp. 757-763
    • Amari, S.1    Cichocki, A.2    Yang, H.H.3
  • 3
    • 0003173321 scopus 로고
    • Convergent algorithm for sensory receptive field development
    • Atick J.J., Redlich A.N. Convergent algorithm for sensory receptive field development. Neural Comput. 5:1993;45-60.
    • (1993) Neural Comput. , vol.5 , pp. 45-60
    • Atick, J.J.1    Redlich, A.N.2
  • 4
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Bell A.J., Sejnowski T.J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7:1995;1129-1159.
    • (1995) Neural Comput. , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 7
    • 0030397352 scopus 로고    scopus 로고
    • Adaptive approach to blind source separation with cancellation of additive and convolutional noise, ICSP'96
    • September
    • A. Cichocki, W. Kasprzak, S. Amari, Adaptive approach to blind source separation with cancellation of additive and convolutional noise, ICSP'96, 3rd Int. Conf. on Signal Processing, Proc. IEEE Press/PHEI Beijing, vol. I, September 1996, pp. 412-415.
    • (1996) 3rd Int. Conf. on Signal Processing, Proc. IEEE Press/PHEI Beijing , vol.1 , pp. 412-415
    • Cichocki, A.1    Kasprzak, W.2    Amari, S.3
  • 8
    • 0010534419 scopus 로고    scopus 로고
    • Self-adaptive independent component analysis for sub-Gaussian and super-Gaussian mixtures with an unknown number of sources
    • Honolulu, USA
    • A. Cichocki, I. Sabala, S. Choi, B. Orsier, R. Szupiluk, Self-adaptive independent component analysis for sub-Gaussian and super-Gaussian mixtures with an unknown number of sources, Int. Symp. on Nonlinear Theory and Applications NOLTA'97, Honolulu, USA, 1997, pp. 731-734.
    • (1997) Int. Symp. on Nonlinear Theory and Applications NOLTA'97 , pp. 731-734
    • Cichocki, A.1    Sabala, I.2    Choi, S.3    Orsier, B.4    Szupiluk, R.5
  • 9
    • 0005889493 scopus 로고
    • Intelligent neural networks for blind signal separation with unknown number of sources
    • Tenerife, Spain, 11-13 February
    • A. Cichocki, I. Sabala, S. Amari, Intelligent neural networks for blind signal separation with unknown number of sources, Proc. Int. Conf. Engineering of Intelligent Systems, Tenerife, Spain, 11-13 February 1988, pp. 148-154.
    • (1988) Proc. Int. Conf. Engineering of Intelligent Systems , pp. 148-154
    • Cichocki, A.1    Sabala, I.2    Amari, S.3
  • 10
    • 0027678079 scopus 로고
    • Robust estimation of principal components in real time
    • Cichocki A., Unbehauen R. Robust estimation of principal components in real time. Electron. Lett. 29:1993;1869-1870.
    • (1993) Electron. Lett. , vol.29 , pp. 1869-1870
    • Cichocki, A.1    Unbehauen, R.2
  • 11
    • 0028498103 scopus 로고
    • Robust learning algorithm for blind separation of signals
    • Cichocki A., Unbehauen R., Rummert E. Robust learning algorithm for blind separation of signals. Electron. Lett. 30:1994;1386-1387.
    • (1994) Electron. Lett. , vol.30 , pp. 1386-1387
    • Cichocki, A.1    Unbehauen, R.2    Rummert, E.3
  • 13
    • 0030285433 scopus 로고    scopus 로고
    • Robust neural networks with on-line learning for blind identification and blind separation of sources
    • Cichocki A., Unbehauen R. 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
  • 14
    • 0028416938 scopus 로고
    • Independent component analysis: A new concept?
    • Comon P. Independent component analysis. a new concept? Signal Process. 36:1994;287-314.
    • (1994) Signal Process. , vol.36 , pp. 287-314
    • Comon, P.1
  • 15
    • 0031268103 scopus 로고    scopus 로고
    • Neural networks for blind decorrelation of signals
    • Douglas S.C., Cichocki A. Neural networks for blind decorrelation of signals. IEEE Trans. Signal Process. 45:1997;2829-2842.
    • (1997) IEEE Trans. Signal Process. , vol.45 , pp. 2829-2842
    • Douglas, S.C.1    Cichocki, A.2
  • 17
    • 0032115413 scopus 로고
    • Bias removal for blind source separation with noisy measurements
    • S.C. Douglas, A. Cichocki, S. Amari, Bias removal for blind source separation with noisy measurements, Electron. Lett. 34 (14) (1988) 1379-1380.
    • (1988) Electron. Lett. , vol.34 , Issue.14 , pp. 1379-1380
    • Douglas, S.C.1    Cichocki, A.2    Amari, S.3
  • 18
    • 0031240491 scopus 로고    scopus 로고
    • Stochastic ICA contrast maximization using Oja's nonlinear PCA algorithm
    • in press
    • M. Girolami, C. Fyfe, Stochastic ICA contrast maximization using Oja's nonlinear PCA algorithm, Int. J. Neural Systems (1997), in press.
    • (1997) Int. J. Neural Systems
    • Girolami, M.1    Fyfe, C.2
  • 19
    • 0031251223 scopus 로고    scopus 로고
    • Extraction of independent signals sources using a deflationary exploratory projection pursuit network with lateral inhibition
    • in press
    • M. Girolami, C. Fyfe, Extraction of independent signals sources using a deflationary exploratory projection pursuit network with lateral inhibition, IEE Proc. Vision, Image Signal Process. (1997), in press.
    • (1997) IEE Proc. Vision, Image Signal Process.
    • Girolami, M.1    Fyfe, C.2
  • 20
    • 0003738412 scopus 로고
    • Ph.D. Dissertation, Stanford Univ., Stanford, CA
    • W.C. Gray, Variable norm deconvolution, Ph.D. Dissertation, Stanford Univ., Stanford, CA, 1979.
    • (1979) Variable Norm Deconvolution
    • Gray, W.C.1
  • 21
    • 0345109513 scopus 로고    scopus 로고
    • Independent component analysis in the presence of noise: A maximum likelihood approach
    • in: C. Fyfe (Ed.) Tenerife, Spain, 9-10 February
    • A. Hyvarinen, Independent component analysis in the presence of noise: a maximum likelihood approach, in: C. Fyfe (Ed.), Proc. Int. Workshop on Independence and Artificial Neural Networks, Tenerife, Spain, 9-10 February 1998, pp. 32-38.
    • (1998) Proc. Int. Workshop on Independence and Artificial Neural Networks , pp. 32-38
    • Hyvarinen, A.1
  • 22
    • 0002580546 scopus 로고    scopus 로고
    • Neural approaches to independent component analysis and source separation
    • ESANN-96, Bruges, Belgium
    • J. Karhunen, Neural approaches to independent component analysis and source separation, Proc. European Symp. on Artificial Neural Networks, ESANN-96, Bruges, Belgium, 1996, pp. 249-266.
    • (1996) Proc. European Symp. on Artificial Neural Networks , pp. 249-266
    • Karhunen, J.1
  • 23
    • 0031110659 scopus 로고    scopus 로고
    • On neural blind separation with noise suppression and redundancy reduction
    • Karhunen J., Cichocki A., Kasprzak W., Pajunen P. On neural blind separation with noise suppression and redundancy reduction. Int. J. Neural Systems. 8(2):1997;219-237.
    • (1997) Int. J. Neural Systems , vol.8 , Issue.2 , pp. 219-237
    • Karhunen, J.1    Cichocki, A.2    Kasprzak, W.3    Pajunen, P.4
  • 26
    • 0029064164 scopus 로고
    • A neural net for blind separation of non-stationary signals
    • Matsuoka K., Ohya M., Kawamoto M. A neural net for blind separation of non-stationary signals. Neural Networks. 8:1995;411-419.
    • (1995) Neural Networks , vol.8 , pp. 411-419
    • Matsuoka, K.1    Ohya, M.2    Kawamoto, M.3
  • 27
    • 0030676410 scopus 로고    scopus 로고
    • Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models
    • ICASSP-97, Munich, Germany
    • E. Moulines, J.F. Cardoso, E. Gassiat, Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models, Proc. Int. Conf. Acoust. Speech, Signal Processing, ICASSP-97, Munich, Germany, 1997, pp. 3617-3620.
    • (1997) Proc. Int. Conf. Acoust. Speech, Signal Processing , pp. 3617-3620
    • Moulines, E.1    Cardoso, J.F.2    Gassiat, E.3
  • 28
    • 0005001064 scopus 로고
    • Signal separation by nonlinear Hebbian learning
    • in: M. Palaniswami et al. (Eds.) IEEE Press, New York
    • E. Oja, J. Karhunen, Signal separation by nonlinear Hebbian learning, in: M. Palaniswami et al. (Eds.), Computational Intelligence - A Dynamic System Perspective, IEEE Press, New York, 1995, pp. 83-97.
    • (1995) Computational Intelligence - A Dynamic System Perspective , pp. 83-97
    • Oja, E.1    Karhunen, J.2
  • 29
    • 0343416807 scopus 로고    scopus 로고
    • The nonlinear PCA learning rule in independent component analysis
    • Oja E. The nonlinear PCA learning rule in independent component analysis. Neurocomputing. 17:1997;25-45.
    • (1997) Neurocomputing , vol.17 , pp. 25-45
    • Oja, E.1
  • 30
    • 0012892315 scopus 로고    scopus 로고
    • Nonlinearity and separation capability: Further justification for the ICA algorithm with a learned mixture of parametric densities
    • ESANN'97, Bruges, Belgium
    • L. Xu, C.-C. Cheung, J. Ruan, S. Amari, Nonlinearity and separation capability: further justification for the ICA algorithm with a learned mixture of parametric densities, Proc. European Symp. on Artificial Neural Networks, ESANN'97, Bruges, Belgium, 1997, pp. 291-296.
    • (1997) Proc. European Symp. on Artificial Neural Networks , pp. 291-296
    • Xu, L.1    Cheung, C.-C.2    Ruan, J.3    Amari, S.4
  • 31
    • 0030706830 scopus 로고    scopus 로고
    • Independent component analysis by the information-theoretic approach with mixture of parametric densities
    • Houston, TX, USA, 9-12 June
    • L. Xu, C.C. Chung, H.H. Yang, S. Amari, Independent component analysis by the information-theoretic approach with mixture of parametric densities, Proc. IEEE Int. Conf. on Nural Networks, vol. III, Houston, TX, USA, 9-12 June, 1997, pp. 1821-1826.
    • (1997) Proc. IEEE Int. Conf. on Nural Networks , vol.3 , pp. 1821-1826
    • Xu, L.1    Chung, C.C.2    Yang, H.H.3    Amari, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.