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Volumn 9, Issue 5, 2001, Pages 561-585

State space models in process tomography - Approximation of state noise covariance

Author keywords

Electrical impedance tomography (EIT); Process tomography; State estimation

Indexed keywords


EID: 0038697819     PISSN: 10682767     EISSN: None     Source Type: Journal    
DOI: 10.1080/174159701088027781     Document Type: Article
Times cited : (32)

References (27)
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    • Statistical inversion and Monte Carlo sampling methods in electrical impedance tomography
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    • State estimation with fluid dynamical evolution models in process tomography -an application with impedance tomography
    • Seppänen, A., Vauhkonen, M., Vauhkonen, P. J., Somersalo, E. and Kaipio, J. P., State estimation with fluid dynamical evolution models in process tomography -an application with impedance tomography. Inv. Probl., 17, 467-484.
    • Inv. Probl. , vol.17 , pp. 467-484
    • Seppänen, A.1    Vauhkonen, M.2    Vauhkonen, P.J.3    Somersalo, E.4    Kaipio, J.P.5
  • 20
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    • Existence and uniqueness for electrode models for electric current computed tomography
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  • 23
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.