Abstract
We consider mean-square optimal linear estimation of the transform
of the homogeneous random field ξ(k, j) with density f(λ, Μ) from the observations ξ(k, j) + η(k, j) with k ≤ 0, j ≤ 0, where η(k, j) is a random field with orthogonal values uncorrelated with ξ(k, j) (white noise). We determine the worst spectral densitiesf 0(λ, Μ) ∈
and the minimax (robust) spectral characteristics of the optimal estimator of the transform Aξ for various density classes
.
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Translated from Vychislitel'naya i Prikladnaya Matematika, No. 73, pp. 78–93, 1990.
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Moklyachuk, M.P., Tatarinov, S.V. Minimax filtering of homogeneous random fields with white noise. J Math Sci 71, 2689–2700 (1994). https://doi.org/10.1007/BF02114047
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DOI: https://doi.org/10.1007/BF02114047