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EN
In recent years there has been observed a growing interest in identifying sensors' dynamic characteristics and spectral estimation of sensors' responses in the task of impulse identification. The aim of this paper is to describe in part an important concept that seems to help provide a solution of the problem of spectral estimation of sensors' measuring pressure short responses. Section 1 reviews difficulties concerned with that problem. Section 2 reviews the new approach to spectral estimation of short responses. The basic idea of the proposed method is to build a prediction error filter, the poles and the reflection coefficient of which lie inside the unit circle /z/=1. Investigations of basic criterions for selecting an order of autoregressive models built for short approximations of sensors' responses are reviewed in Section 3. A new approach to selecting an order of models is proposed in Section 4. Some interesting results of estimating sensors' responses with the proposed method of spectral estimation are shown in Section 5. Here, schemes of reducing noise are also given.
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