Approximation of spectral density and accuracy in the estimation problem

In this paper, we construct lower and upper bounds for minimax risk in the problem of estimating the unknown pseudo-periodic function observed in the stationary noise with a spectral density satisfying the Muckenhoupt condition, with some a priori information about the behavior of the spectral density in the neighborhood of the spectrum of the signal.