Abstract
This paper is concerned with a study of the fine structure of reactor noise. The power spectrum of reactor noise is represented in the frequency-time space using procedures of Bayesian AR-modelling (Kitagawa(1985), and Tamura(1985)). Results from the application to a number of power reactor noise data retrieve information on tomographical structures of peculiar reactor noise as well as apparently stationary reactor noise. Some comments are referred to the introduction of this idea to the STP analysis.
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