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Volumn 3889 LNCS, Issue , 2006, Pages 74-81

Model structure selection in convolutive mixtures

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN MODEL SELECTION; CICAAR ALGORITHMS; CONVOLUTIVE INDEPENDENT COMPONENT ANALYSIS WITH AN AUTO-REGRESSIVE INVERSE MODEL (CICAAR); CONVOLUTIVE MIXTURES;

EID: 33745697517     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_10     Document Type: Conference Paper
Times cited : (6)

References (13)
  • 1
    • 0242578049 scopus 로고    scopus 로고
    • Complex independent component analysis of frequency-domain eeg data
    • J. Anemüller, T. Sejnowski, and S. Makeig. Complex independent component analysis of frequency-domain eeg data. Neural Networks, 16:1313-1325, 2003.
    • (2003) Neural Networks , vol.16 , pp. 1313-1325
    • Anemüller, J.1    Sejnowski, T.2    Makeig, S.3
  • 2
    • 0032528695 scopus 로고    scopus 로고
    • Blind source separation and deconvolution: The dynamic component analysis algorithm
    • H. Attias and C. E. Schreiner. Blind source separation and deconvolution: the dynamic component analysis algorithm. Neural Computation, 10(6):1373-1424, 1998.
    • (1998) Neural Computation , vol.10 , Issue.6 , pp. 1373-1424
    • Attias, H.1    Schreiner, C.E.2
  • 3
    • 0029411030 scopus 로고
    • An information maximisation approach to blind separation and blind deconvolution
    • A. J. Bell and T. Sejnowski. An information maximisation approach to blind separation and blind deconvolution. Neural Computation, 7:1129-1159, 1995.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.2
  • 4
    • 35048818525 scopus 로고    scopus 로고
    • CICAAR: Convolutive ICA with an auto-regressive inverse model
    • Carlos G. Puntonet and Alberto Prieto, editors, sep
    • M. Dyrholm and L. K. Hansen. CICAAR: Convolutive ICA with an auto-regressive inverse model. In Carlos G. Puntonet and Alberto Prieto, editors, Independent Component Analysis and Blind Signal Separation, volume 3195, pages 594-601, sep 2004.
    • (2004) Independent Component Analysis and Blind Signal Separation , vol.3195 , pp. 594-601
    • Dyrholm, M.1    Hansen, L.K.2
  • 5
    • 0034841824 scopus 로고    scopus 로고
    • Blind detection of independent dynamic components
    • L. K. Hansen, J. Larsen, and T. Kolenda. Blind detection of independent dynamic components. In proc. IEEE ICASSP'2001, 5:3197-3200, 2001.
    • (2001) Proc. IEEE ICASSP'2001 , vol.5 , pp. 3197-3200
    • Hansen, L.K.1    Larsen, J.2    Kolenda, T.3
  • 12
    • 84898936603 scopus 로고    scopus 로고
    • Maximum likelihood blind source separation: A context-sensitive generalization of ICA
    • Michael C. Mozer, Michael I. Jordan, and Thomas Petsche, editors. The MIT Press
    • B. A. Pearlmutter and L. C. Parra. Maximum likelihood blind source separation: A context-sensitive generalization of ICA. In Michael C. Mozer, Michael I. Jordan, and Thomas Petsche, editors, Advances in Neural Information Processing Systems, volume 9, page 613. The MIT Press, 1997.
    • (1997) Advances in Neural Information Processing Systems , vol.9 , pp. 613
    • Pearlmutter, B.A.1    Parra, L.C.2
  • 13
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • G. Schwarz. Estimating the dimension of a model. Annals of Statistics, 6:461-464, 1978.
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.