Prediction for the Processes with Almost Cyclostationary Structure

This paper is devoted to establish a computational approach to predict the processes with almost cyclostationary structure. The main idea is based on the estimating of the support of spectra and using the discrete Fourier transform and periodogram of almost cyclostationary processes. The simulated and real datasets are applied to study the performance of the introduced approach. The results confirm that the presented method acts efficiently for simulated and real datasets.