Energy-preserving windows for non-stationary filtering

Jan Rubak, Michael P. Lamoureux

We demonstrate the construction of window functions for processing time-variant signals such as seismic data logs, which preserve both local amplitudes and local energies. This is a key step in nonstationary filtering that allows the localization of signals without introducing spurious energy artifacts.