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The spectrum of a time series sampled at irregular intervals is considered. A new set of data is obtained from non-uniform sampled values by a linear transformation. The linear transformation is a bilinear transformation and has the property that the spectra of new data and the original data are the same. The standard fast Fourier transform (FFT) can be applied to compute the estimate of the spectrum of the time series.