Modeling the Processes with Almost Cyclostationary Structure

EasyChair Preprint 7775

Abstract

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.

Keyphrases: Almost Cyclostationary, Almost Periodically Correlated, Discrete Fourier Transform, Periodogram, prediction, spectral analysis

@booklet{EasyChair:7775,
  author    = {Kim-Hung Pho and Zhenshuai Fu and Mohammad Reza Mahmoudi and Bui Anh Tuan},
  title     = {Modeling the Processes with Almost Cyclostationary Structure},
  howpublished = {EasyChair Preprint 7775},
  year      = {EasyChair, 2022}}