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Volumn 5, Issue , 2006, Pages

The maximum likelihood approach to complex ICA

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; FUNCTIONS; INDEPENDENT COMPONENT ANALYSIS;

EID: 33947654429     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (38)

References (11)
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    • Adali, T.1    Kim, T.2    Calhoun, V.3
  • 2
    • 0242578049 scopus 로고    scopus 로고
    • Complex independent component analysis of frequency-domain EEG data
    • J. Anemüller, T. J. Sejnowski, and S. Makeig, "Complex independent component analysis of frequency-domain EEG data," Neural Networks, vol. 16, pp. 1311-23, 2003.
    • (2003) Neural Networks , vol.16 , pp. 1311-1323
    • Anemüller, J.1    Sejnowski, T.J.2    Makeig, S.3
  • 3
    • 0034136037 scopus 로고    scopus 로고
    • E. Bingham and A. Hyvärinen, A fast fixed-point algorithm for independent component analysis of complex-valued signals, Int. J. Neural Systems, 10(1):1, pp. 1-8, 2000.
    • E. Bingham and A. Hyvärinen, "A fast fixed-point algorithm for independent component analysis of complex-valued signals," Int. J. Neural Systems, 10(1):1, pp. 1-8, 2000.
  • 4
    • 84953724721 scopus 로고    scopus 로고
    • Complex Infomax: Convergence and approximation of Infomax with complex nonlinearities
    • Martigny, Switzerland, Sep
    • V. Calhoun and T. Adali, "Complex Infomax: Convergence and approximation of Infomax with complex nonlinearities," in Proc. NNSP, Martigny, Switzerland, Sep. 2002.
    • (2002) Proc. NNSP
    • Calhoun, V.1    Adali, T.2
  • 5
    • 0030417779 scopus 로고    scopus 로고
    • Equivariant adaptive source separation
    • Dec
    • J.-F. Cardoso and B. H. Laheld, "Equivariant adaptive source separation," IEEE Trans. Signal Processing, vol. 44, no. 12, pp. 3017-3030, Dec. 1996.
    • (1996) IEEE Trans. Signal Processing , vol.44 , Issue.12 , pp. 3017-3030
    • Cardoso, J.-F.1    Laheld, B.H.2
  • 6
    • 0027812550 scopus 로고
    • Blind beamforming for non-Gaussian signals
    • J.-F. Cardoso, and A. Souloumiac, "Blind beamforming for non-Gaussian signals," IEE Proc. Radar Signal Proc., vol. 140, no., 6, pp. 362-370, 1993.
    • (1993) IEE Proc. Radar Signal Proc , vol.140 , Issue.and 6 , pp. 362-370
    • Cardoso, J.-F.1    Souloumiac, A.2
  • 7
    • 17644403202 scopus 로고    scopus 로고
    • Complex-valued ICA using second order statistics
    • Saõ Luis, Brazil
    • J. Eriksson and V. Koivunen, "Complex-valued ICA using second order statistics," in Proc. MLSP, Saõ Luis, Brazil, 2004.
    • (2004) Proc. MLSP
    • Eriksson, J.1    Koivunen, V.2
  • 8
    • 84863715194 scopus 로고    scopus 로고
    • Complex ICA for circular and non-circular sources
    • Antalya, Turkey
    • J. Eriksson, A.-M. Seppola, and V. Koivunen, "Complex ICA for circular and non-circular sources," in Proc. EUSIPCO, Antalya, Turkey, 2005.
    • (2005) Proc. EUSIPCO
    • Eriksson, J.1    Seppola, A.-M.2    Koivunen, V.3
  • 9
    • 0031191456 scopus 로고    scopus 로고
    • Blind separation of mixture of independent sources through a quasimaximum likelihood approach
    • July
    • D.-T. Pham and P. Garat, "Blind separation of mixture of independent sources through a quasimaximum likelihood approach," IEEE Trans. Signal Processing, vol. 45, pp. 1712-1725, July 1997.
    • (1997) IEEE Trans. Signal Processing , vol.45 , pp. 1712-1725
    • Pham, D.-T.1    Garat, P.2
  • 10
    • 0032212942 scopus 로고    scopus 로고
    • Blind separation of convolved mixtures in the frequency domain
    • P. Smaragdis, "Blind separation of convolved mixtures in the frequency domain," Neurocomputing, vol. 22, pp. 21-34, 1998.
    • (1998) Neurocomputing , vol.22 , pp. 21-34
    • Smaragdis, P.1
  • 11
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    • Random vectors with values in complex Hilbert spaces
    • Feb
    • N. N. Vakhania and N. P. Kandelaki, "Random vectors with values in complex Hilbert spaces," Theory Probability Appl., vol. 41, no. 1, pp. 116-131, Feb. 1996.
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    • Vakhania, N.N.1    Kandelaki, N.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.