  In this paper we present a multiresolution-based method for period
determination that is able to deal with unevenly sampled data. This method
allows us to detect superimposed periodic signals with lower signal-to-noise
ratios than in classical methods. This multiresolution-based method is a
generalization of the wavelet-based method for period detection that is unable
to deal with unevenly sampled data, presented by the authors in Otazu et al.
(2002). This new method is a useful tool for the analysis of real data and, in
particular, for the analysis of astronomical data.
