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Volumn 24, Issue 6, 1988, Pages 789-801

Recursive Bayesian estimation using piece-wise constant approximations

Author keywords

Bayes methods; discrete time systems; estimation; nonlinear systems; parameter estimation; recursive algorithms; state estimation; stochastic systems

Indexed keywords


EID: 0000871666     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(88)90055-6     Document Type: Article
Times cited : (98)

References (28)
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  • 3
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  • 4
  • 6
    • 84909487081 scopus 로고
    • Practical nonlinear filtering of discrete observations by generalized least-squares approximation of the conditional probability distribution
    • (1971) 2nd Symp. on Nonlinear Estimation , pp. 88-99
    • Center1
  • 14
    • 0020893313 scopus 로고
    • Comparisons of nonlinear recursive filters for systems with non-negligible nonlinearities
    • C.T. Leondes, Academic Press, New York
    • (1983) Control and Dynamic Systs , vol.20 , pp. 341-401
    • Liang1
  • 20
    • 0016104320 scopus 로고
    • On the development of practical nonlinear filters
    • (1974) Inf. Sci. , vol.7 , pp. 253-270
    • Sorenson1
  • 27
    • 0018063271 scopus 로고
    • Optimal quadrature formula nonlinear estimators
    • (1978) Inf. Sci. , vol.16 , pp. 169-184
    • Wang1    Klein2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.