# Capturing cycles in time series with Fourier

In time series regression with Fourier, Fourier terms are limited to maximum half of the frequency of time series to capture seasonality. my question is: Can we extend Fourier terms beyond half of frequency to capture cycles? and then filter high frequency/low amplitude terms to have a forecasting algorithm?