Mathematics – Probability
Scientific paper
Jul 1994
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1994a%26a...287..685g&link_type=abstract
Astronomy and Astrophysics (ISSN 0004-6361), vol. 287, no. 2, p. 685-691
Mathematics
Probability
14
Fourier Analysis, Power Spectra, Probability Density Functions, Statistical Analysis, Line Spectra, Maximum Likelihood Estimates, Solar Oscillations, Stochastic Processes
Scientific paper
It is usually assumed that the probability-density function of a line in a power spectrum is given by the product of chi22. This assumption rests on the hypothesis that Fourier points are statistically independent which is true only in the limit of an infinite observation time without any interruption in the data. We give a more accurate expression of that probability- density function and a rigorous one for the realization of a Fourier spectrum which can also be used to obtain the line parameters with the maximum likelihood method. One other interest of these formulae is that they provide an accurate method for line deconvolution. The theory is given both for uninterrupted and for interrupted sequences of data. Also we extend to this latter case results obtained earlier.
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