3 ms·

Can anyone summarize the novelty here (for general time series)? Have these features been referenced recently?

• tmshapland 2y ago
  The novel part of the method is in how it separates noise from the recurring shape in the time series. In the paper, they are separating random noise from recurring ramp shapes. But the same procedure could be implemented for other recurring asymmetric shapes in time series. The method is really good at getting the characteristics of the recurring shapes. In the case of ramps, it's good at getting the average height of the ramps and the average duration of the ramps.