Detection of superimposed periodic signals using wavelets

X. Otazu, M. Ribó, M. Peracaula, J. M. Paredes, J. Núñez

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    10 Citations (Scopus)

    Abstract

    In this paper we present a wavelet-based algorithm that is able to detect superimposed periodic signals in data with low signal-to-noise ratio. In this context, the results given by classical period determination methods depend strongly on the intrinsic characteristics of each periodic signal, like amplitude or profile. It is then difficult to detect the different periods present in the data set. The results given by the wavelet-based method for period determination we present here are independent of the characteristics of the signals.
    Original languageEnglish
    Pages (from-to)365-372
    JournalMonthly Notices of the Royal Astronomical Society
    Volume333
    Issue number2
    DOIs
    Publication statusPublished - 21 Jun 2002

    Keywords

    • Methods: data analysis
    • Methods: numerical
    • Stars: variables: other
    • X-rays: binaries
    • X-rays: general

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