2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/22917Slow feature analysis (SFA) is a new technique for extracting slowly varying features from a quickly varying signal. It is shown here that SFA can be applied to nonstationary time series to estimate a single underlying driving force with high accuracy up to a constant offset and a factor. Examples with a tent map and a logistic map illustrate the performance.8 pages, 4 figuresStatistical Mechanicstext