On optimal solutions of the deconvolution problem

DOI10.1088/0266-5611/6/5/012zbMath0729.62089OpenAlexW1977561451MaRDI QIDQ3354946

Mikhail Sergeevich Ermakov

Publication date: 1990

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0266-5611/6/5/012

zbMATH Keywords

algorithmnoiserate of convergenceasymptotic behaviourBayes risksTikhonov regularizationstationary Gaussian processdeconvolutionminimax risksconvergence order of regularization methodWiener filtration

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Gaussian processes (60G15) Bayesian problems; characterization of Bayes procedures (62C10) Minimax procedures in statistical decision theory (62C20) Stationary stochastic processes (60G10) Signal detection and filtering (aspects of stochastic processes) (60G35)

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