Spectral-analysis forecasting models are effective at filtering noise out of cyclical data. For example, spectral analysis can pull seasonal patterns out from data that also have a strong monthly pattern. The seasonality would be otherwise difficult to see.
Spectral analysis forecasting methods include:
- Lowpass filter
- Spectral noise filter
- Formant frequency
Other forecasting methods include: