Kay, S. (1988) Modern Spectral(2)

From the analysis of this interval, amathematical inequality is obtained, that determines in an objective way, theminimum size of a window。 Two examples of the use of this criterion arepresented。 The results show that the hiding of information of a signal is duemainly to the wrong choice of the size of the window, but also to the relativeamplitude of the frequency components and the type of window。spectral estimation Windowing is themain tool used in spectral analysis with nonparametric periodograms。 Until now,optimization was based on the type of window。spectral estimation

In this paper we show that theright choice of the size of a window assures on one hand that the number ofdata is enough to resolve the frequencies involved in the signal, and on theother, reduces the number of required data, and thus the processing time, whenvery long files are being analyzed。

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