Ein Beitrag zur Vorhersage nichtlinearer stochastischer Signale

The present contribution addresses the forecast of pattern based on non-linear stochastic signals. The basis of the work is built up of an advanced component model with polynomial, periodic, stochastic and an additional pattern component. The advanced component model considers all methods and algorithms for the analysis, design and the forecast of deterministic, stochastic and pattern based signal parts.