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Volumn 6, Issue , 2003, Pages 673-676

Computing the recursive posterior Cramer-Rao bound for a nonlinear nonstationary system

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ERROR ANALYSIS; MONTE CARLO METHODS; RECURSIVE FUNCTIONS;

EID: 0141742291     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (8)
  • 1
    • 0003555229 scopus 로고    scopus 로고
    • Ph.D. thesis, Department of Electrical Engineering. Linköping Studies in Science and Technology. Dissertations No. 579
    • N. Bergman, Recursive Bayesian Estimation: Navigation and Tracking Applications, Ph.D. thesis, Department of Electrical Engineering. Linköping Studies in Science and Technology. Dissertations No. 579.
    • Recursive Bayesian Estimation: Navigation and Tracking Applications
    • Bergman, N.1
  • 3
    • 84901465707 scopus 로고    scopus 로고
    • Performance analysis of two sequential Monte Carlo methods and posterior Cramer-Rao bounds for multi-target tracking
    • Annapolis, Maryland, July
    • C. Hue, J. Le Cadre, P. Perez, Performance analysis of two sequential Monte Carlo methods and posterior Cramer-Rao bounds for multi-target tracking, 5th Int. Conf. on Information Fusion, FUSION'02, Annapolis, Maryland, July 2002.
    • (2002) 5th Int. Conf. on Information Fusion, FUSION'02
    • Hue, C.1    Le Cadre, J.2    Perez, P.3
  • 4
    • 0032136153 scopus 로고    scopus 로고
    • Condensation - Conditional density propagation for visual tracking
    • M. Isard, A. Blake, CONDENSATION - conditional density propagation for visual tracking, Int. J. Computer Vision, 29, 1, 5-28, 1998.
    • (1998) Int. J. Computer Vision , vol.29 , pp. 1
    • Isard, M.1    Blake, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.