Generalizations and Extensions

Korostelev, A. P.; Tsybakov, A. B.

doi:10.1007/978-1-4612-2712-0_5

A. P. Korostelev³ &
A. B. Tsybakov⁴

Part of the book series: Lecture Notes in Statistics ((LNS,volume 82))

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Abstract

The results of Chapters 3 and 4 can be generalized for the images defined on N-dimensional cube K=[0,1]^N, N≥2. Also, assumptions on the noise distribution can be relaxed. To consider these points we need some more notation.

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Authors and Affiliations

Institute for Systems Studies, Prospeck 60-letija Octjabarja 9, 117312, Moscow, Russia
A. P. Korostelev
Institute for Problems of Information Transmission, Ermolovoy Street 19, 101447, Moscow GSP-4, Russia
A. B. Tsybakov

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A. P. Korostelev
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A. B. Tsybakov
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Korostelev, A.P., Tsybakov, A.B. (1993). Generalizations and Extensions. In: Minimax Theory of Image Reconstruction. Lecture Notes in Statistics, vol 82. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2712-0_5

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DOI: https://doi.org/10.1007/978-1-4612-2712-0_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-94028-1
Online ISBN: 978-1-4612-2712-0
eBook Packages: Springer Book Archive

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