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Direct Estimation of Linear Functionals from Indirect Noisy Observations

✍ Scribed by Peter Mathé; Sergei V. Pereverzev


Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
152 KB
Volume
18
Category
Article
ISSN
0885-064X

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A method is presented for estimating an unknown parameter of a distributed parameter system which depends on the system state. The system considered is modelled by a class of non-linear partial differential equations of a parabolic type. Noisy observations are assumed to be taken through an arbitrar