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Volumn IV, Issue , 2005, Pages

Rao-Blackwellised particle filtering for blind system identification

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; BLIND SOURCE SEPARATION; COMPUTER SIMULATION; MATHEMATICAL MODELS; MONTE CARLO METHODS; REGRESSION ANALYSIS; SENSOR DATA FUSION;

EID: 33646781320     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416010     Document Type: Conference Paper
Times cited : (6)

References (9)
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    • Montreal, Canada, May
    • M. J. Daly and J. P. Reilly, "Blind deconvolution using Bayesian methods with application to the dereverberation of speech," in Proc. IEEE International Conference on Acoustic, Speech and Signal Processing, Montreal, Canada, May 2004, vol. 2, pp. 1009-1012.
    • (2004) Proc. IEEE International Conference on Acoustic, Speech and Signal Processing , vol.2 , pp. 1009-1012
    • Daly, M.J.1    Reilly, J.P.2
  • 2
    • 0027580559 scopus 로고
    • Novel approach to non-linear/non-Gaussian Bayesian state estimation
    • Apr.
    • N. Gordon, D. Salmond, and A. Smith, "Novel approach to non-linear/non-Gaussian Bayesian state estimation," Proc. IEE-F, vol. 140, pp. 107-113, Apr. 1993.
    • (1993) Proc. IEE-F , vol.140 , pp. 107-113
    • Gordon, N.1    Salmond, D.2    Smith, A.3
  • 5
    • 0003665481 scopus 로고    scopus 로고
    • A. Doucet, N. de Freitas, and N. J. Gordon, Eds. Springer-Verlag, New York
    • A. Doucet, N. de Freitas, and N. J. Gordon, Eds., Sequential Monte Carlo Methods in Practice, Springer-Verlag, New York, 2000.
    • (2000) Sequential Monte Carlo Methods in Practice
  • 7
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-Gaussian nonlinear state space models
    • Mar.
    • G. Kitagawa, "Monte Carlo filter and smoother for non-Gaussian nonlinear state space models," Journal of Computational and Graphical Statistics, vol. 5, pp. 1-25, Mar. 1996.
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , pp. 1-25
    • Kitagawa, G.1
  • 8
    • 0032359151 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods for dynamic systems
    • Sept.
    • J. S. Liu and R. Chen, "Sequential Monte Carlo methods for dynamic systems," Journal of the American Statistical Association, vol. 93, pp. 1032-1044, Sept. 1998.
    • (1998) Journal of the American Statistical Association , vol.93 , pp. 1032-1044
    • Liu, J.S.1    Chen, R.2
  • 9
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • Dec.
    • A. Doucet, S. Godsill, and C. Andrieu, "On sequential Monte Carlo sampling methods for Bayesian filtering," Statistics and Computing, vol. 10, pp. 197-208, Dec. 2000.
    • (2000) Statistics and Computing , vol.10 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.