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Blind deconvolution model in periodic setting with fractional Gaussian noise
Authors:Rida Benhaddou
Institution:Department of Mathematics, Ohio University, Athens, OH
Abstract:We consider the problem of estimating the response function in a deconvolution model under fractional Gaussian noise and noisy kernel. A preliminary threshold is used to stabilize the inversion. Our estimator is adaptive and attains minimax optimal or near-optimal rates in a wide range of Besov balls.
Keywords:Blind deconvolution  Fractional Gaussian noise  Minimax convergence rate
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