Automatic extraction and forecast of time series cyclic components within the framework of SSA

Application of Singular Spectrum Analysis (SSA) for the purpose of extracting and forecasting time series cyclic components is considered. Automatic methods of identiflcation are applied within the framework of SSA. Their suitability for the class of exponentially modulated harmonic components is numerically investigated.