Multiresolution approach for period determination on unevenly sampled data

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 an earlier paper. This new method is a useful tool for the analysis of real data and, in particular, for the analysis of astronomical data.