摘要
In recent years, cyclostratigraphy has been successfully applied to dating strata and recongnizing the possible astronomical forcing on major geological events. In order to identify an optimal sampling interval, the authors used theoretic daily insolation data of time intervals of 80~100 Ma and two geological datasets to estimate each power spectra at three sampling intervals, and then compared corresponding spectra analysis results. As a result, under the condition of satisfying the sampling theorem, sampling interval which equals to half of a precession cycle is the optimal sampling interval for cyclostratigraphic analysis. All Milankovitch signals can be identified and at the same time the workload is the least by using this optimal sampling interval.