Signal extrapolation using Empirical Mode Decomposition with financial applications

In order to extrapolate a signal, Empirical Mode Decomposition is used to decompose it into simpler components. Each component is individually extrapolated linearly, and the final extrapolation value is produced as the sum of these individual values. This technique is applied on financial signals, with a view towards capturing the sign of the increment of the signal instead of the exact future value, and the results are compared to cubic spline extrapolation.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Nikolaos Tsakalozos, Konstantinos Drakakis, Scott T. Rickard
• Keywords: Cubic Spline Extrapolation, Empirical Mode Decomposition, ICASSP 2011, Signal Processing, final Extrapolation Value