Abstract
The accuracy of a spectral interpolation method is studied on sampled pseudoperiodic signals. An attempt is made to compute the accuracy of the characteristics of a particular component in terms of the remaining components contribution. The weighting effect is shown to improve the characteristics computation by reducing the remaining components contribution to an order of 1 N 3 , where N is the number of the samples. The noise effect and the proximity effect are analyzed and the spectral interpolation is compared with a time domain method derived from a Kumaresan Tufts procedure.
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