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Volumn , Issue , 2007, Pages 3065-3071

Greedy algorithms for dirac mixture approximation of arbitrary probability density functions

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; COMPUTATIONAL COMPLEXITY; DISTRIBUTION FUNCTIONS; OPTIMIZATION; QUADRATIC PROGRAMMING;

EID: 62749133993     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2007.4434778     Document Type: Conference Paper
Times cited : (19)

References (13)
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  • 2
    • 0033737762 scopus 로고    scopus 로고
    • Nonlinear Filtering via Generalized Edgeworth Series and Gauss-Hermite Quadrature
    • June
    • S. Challa, Y. Bar-Shalom, and V. Krishnamurthy, "Nonlinear Filtering via Generalized Edgeworth Series and Gauss-Hermite Quadrature," IEEE Transactions on Signal Processing, vol. 48, no. 6, pp. 1816-1820, June 2000.
    • (2000) IEEE Transactions on Signal Processing , vol.48 , Issue.6 , pp. 1816-1820
    • Challa, S.1    Bar-Shalom, Y.2    Krishnamurthy, V.3
  • 3
    • 0032002958 scopus 로고    scopus 로고
    • A Differential Geometric Approach to Nonlinear Filtering: The Projection Filter
    • D. Brigo, B. Hanzon, and F. LeGland, "A Differential Geometric Approach to Nonlinear Filtering: The Projection Filter," IEEE Transactions on Automatic Control, vol. 42, no. 2, pp. 247-252, 1998.
    • (1998) IEEE Transactions on Automatic Control , vol.42 , Issue.2 , pp. 247-252
    • Brigo, D.1    Hanzon, B.2    LeGland, F.3
  • 4
    • 39549097798 scopus 로고    scopus 로고
    • N. Oudjane and S. Rubenthaler, Stability and Uniform Particle Approximation of Nonlinear Filters in Case of Non-Ergodic Signal, Prépublication, Laboratoire de Probabilités et Modèles Aléatoires,Université de Paris VI, Tech. Rep. PMA786, Jan. 2003. [Online]. Available: http://www.proba.jussieu.fr/mathdoc/textes/PMA-786.pdf
    • N. Oudjane and S. Rubenthaler, "Stability and Uniform Particle Approximation of Nonlinear Filters in Case of Non-Ergodic Signal," Prépublication, Laboratoire de Probabilités et Modèles Aléatoires,Université de Paris VI, Tech. Rep. PMA786, Jan. 2003. [Online]. Available: http://www.proba.jussieu.fr/mathdoc/textes/PMA-786.pdf
  • 5
    • 0036475447 scopus 로고    scopus 로고
    • A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking
    • M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking," IEEE Transactions on Signal Processing, vol. 50, no. 2, pp. 174-188, 2002.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 7
    • 0001460136 scopus 로고    scopus 로고
    • On Sequential Monte Carlo Sampling Methods for Bayesian Filtering
    • A. Doucet, S. Godsill, and C. Andrieu, "On Sequential Monte Carlo Sampling Methods for Bayesian Filtering," Statistics and Computing, vol. 10, no. 3, pp. 197-208, 2000.
    • (2000) Statistics and Computing , vol.10 , Issue.3 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 9
    • 34547518479 scopus 로고    scopus 로고
    • Symmetrizing the Kullback-Leibler Distance
    • submitted to IEEE Signal Processing Letters
    • D. H. Johnson and S. Sinanovic, "Symmetrizing the Kullback-Leibler Distance," submitted to IEEE Signal Processing Letters, 2002.
    • (2002)
    • Johnson, D.H.1    Sinanovic, S.2
  • 10
    • 39649083575 scopus 로고    scopus 로고
    • Density Approximation Based on Dirac Mixtures with Regard to Nonlinear Estimation and Filtering
    • San Diego, California, Dec
    • O. C. Schrempf, D. Brunn, and U. D. Hanebeck, "Density Approximation Based on Dirac Mixtures with Regard to Nonlinear Estimation and Filtering," in IEEE Conference on Decision and Control (CDC 2006), San Diego, California, Dec. 2006.
    • (2006) IEEE Conference on Decision and Control (CDC 2006)
    • Schrempf, O.C.1    Brunn, D.2    Hanebeck, U.D.3
  • 12
    • 35348864141 scopus 로고    scopus 로고
    • Recursive Prediction of Stochastic Nonlinear Systems Based on Dirac Mixture Approximations
    • New York, New York, July
    • O. C. Schrempf and U. D. Hanebeck, "Recursive Prediction of Stochastic Nonlinear Systems Based on Dirac Mixture Approximations," in Proceedings of the American Control Conference (ACC 2007), New York, New York, July 2007.
    • (2007) Proceedings of the American Control Conference (ACC 2007)
    • Schrempf, O.C.1    Hanebeck, U.D.2
  • 13
    • 0042827602 scopus 로고    scopus 로고
    • Progressive Bayes: A New Framework for Nonlinear State Estimation
    • Orlando, Florida, May
    • U. D. Hanebeck, K. Briechle, and A. Rauh, "Progressive Bayes: A New Framework for Nonlinear State Estimation," in Proceedings of SPIE, AeroSense Symposium, vol. 5099, Orlando, Florida, May 2003, pp. 256-267.
    • (2003) Proceedings of SPIE, AeroSense Symposium , vol.5099 , pp. 256-267
    • Hanebeck, U.D.1    Briechle, K.2    Rauh, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.