Optimization algorithm parameters of an inverse filtration in conditions of a priori indeterminacy

The accuracy increase of regularizing algorithms of the Volterra integral equations of 1-st order are considered. These problems describe tasks of dynamic objects identification and restoration of input signals for cases, when the effective power of a power spectrum of the required solution is concentrated in the limited frequencies band, including the almost periodic solutions. It is proposed to use filters with the minimal number of characteristic parameters, as a combination of Butterworth filters, as stabilizers in system-structural analogue of Tikhonov's regularization method.