In time series analysis, comparing spectral densities of several processes with almost periodic spectra is an interested problem. The contribution of this work is to give a technique to compare and to cluster the spectral densities of some independent almost periodically correlated (cyclostationary) processes. This approach is based on the limiting distribution for the periodogram and the discrete Fourier transform. The real world examples and simulation results indicate that the approach well acts.

中文翻译：

---

在比较和聚类几个几乎循环平稳过程的光谱密度时

在时间序列分析中，将几个过程的光谱密度与几乎周期性的光谱进行比较是一个有趣的问题。这项工作的目的是提供一种技术，以比较和聚集一些独立的，几乎周期性相关的（循环平稳）过程的光谱密度。该方法基于周期图和离散傅立叶变换的极限分布。实际示例和仿真结果表明该方法行之有效。