Blind deconvolution model in periodic setting with fractional Gaussian noise.

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. [ABSTRACT FROM AUTHOR]